Books by Subject
- 2010 ProQuest SafariMartin Trautschold and Gary Mazo.Pt. I. Quick start guide -- pt. II. Introduction -- pt. 3. You and your iPad. Getting started -- Typing tips, copy/paste & search -- Sync your iPad with iTunes -- WiFi and 3G connections -- Moving, docking, and deletingicons -- Personalize and secure your iPad -- Playing music -- iBooks and E-books -- Viewing videos, tv shows, & more -- Bluetooth on the iPad -- Surf the web with Safari -- E-mail -- Working with contacts -- Your calendar -- Working with photos -- Maps -- Eliminate your paper notes -- iWork : productivity on your iPad -- iTunes on your iPad -- Amazing App Store -- Games and fun -- Social networking -- New media : reading newspapers, magazines, and more -- Other sync methods -- Troubleshooting -- pt. IV. iPad's soulmate : iTunes. Your iTunes user guide.
- 2010 ProQuest SafariJ.D. Biersdorfer.Looks at the features and functions of the iPad, covering such topics as using Safari, setting up an email account, using built-in apps, playing games, using iTunes, watching videos, syncing with MobileMe.
- 2012 CRCnetBASEDimitris Rizopoulos."Preface Joint models for longitudinal and time-to-event data have become a valuable tool in the analysis of follow-up data. These models are applicable mainly in two settings: First, when focus is in the survival outcome and we wish to account for the effect of an endogenous time-dependent covariate measured with error, and second, when focus is in the longitudinal outcome and we wish to correct for nonrandom dropout. Due to their capability to provide valid inferences in settings where simpler statistical tools fail to do so, and their wide range of applications, the last 25 years have seen many advances in the joint modeling field. Even though interest and developments in joint models have been widespread, information about them has been equally scattered in articles, presenting recent advances in the field, and in book chapters in a few texts dedicated either to longitudinal or survival data analysis. However, no single monograph or text dedicated to this type of models seems to be available. The purpose in writing this book, therefore, is to provide an overview of the theory and application of joint models for longitudinal and survival data. In the literature two main frameworks have been proposed, namely the random effects joint model that uses latent variables to capture the associations between the two outcomes (Tsiatis and Davidian, 2004), and the marginal structural joint models based on G estimators (Robins et al., 1999, 2000). In this book we focus in the former. Both subfields of joint modeling, i.e., handling of endogenous time-varying covariates and nonrandom dropout, are equally covered and presented in real datasets"-- Provided by publisher.
- 2008 SpringerDeepayan Sarkar.
- 2006 ProQuest SafariSeyed M.M. "Saied" Tahaghoghi and Hugh E. Williams.
- 2008 ProQuest SafariRandal L. Schwartz, Tom Phoenix, and Brian D. Foy.
- 2007 ProQuest Safariby Michele E. Davis and Jon A. Phillips.
- 2007 ProQuest SafariMark Lutz.
- 2007 ProQuest SafariMichael Fitzgerald.
- 2008Succinct guide for Windows users migrating to the Mac.
- 2012 ProQuest SafariDrew Conway and John Myles White.Machine generated contents note: -- 1. Using R -- R for Machine Learning -- Downloading and Installing R -- IDEs and Text Editors -- Loading and Installing R Packages -- R Basics for Machine Learning -- Further Reading on R -- 2. Data Exploration -- Exploration versus Confirmation -- What Is Data? -- Inferring the Types of Columns in Your Data -- Inferring Meaning -- Numeric Summaries -- Means, Medians, and Modes -- Quantiles -- Standard Deviations and Variances -- Exploratory Data Visualization -- Visualizing the Relationships Between Columns -- 3. Classification: Spam Filtering -- This or That: Binary Classification -- Moving Gently into Conditional Probability -- Writing Our First Bayesian Spam Classifier -- Defining the Classifier and Testing It with Hard Ham -- Testing the Classifier Against All Email Types -- Improving the Results -- 4. Ranking: Priority Inbox -- How Do You Sort Something When You Don't Know the Order? -- Ordering Email Messages by Priority -- Contents note continued: Priority Features of Email -- Writing a Priority Inbox -- Functions for Extracting the Feature Set -- Creating a Weighting Scheme for Ranking -- Weighting from Email Thread Activity -- Training and Testing the Ranker -- 5. Regression: Predicting Page Views -- Introducing Regression -- The Baseline Model -- Regression Using Dummy Variables -- Linear Regression in a Nutshell -- Predicting Web Traffic -- Defining Correlation -- 6. Regularization: Text Regression -- Nonlinear Relationships Between Columns: Beyond Straight Lines -- Introducing Polynomial Regression -- Methods for Preventing Overfitting -- Preventing Overfitting with Regularization -- Text Regression -- Logistic Regression to the Rescue -- 7. Optimization: Breaking Codes -- Introduction to Optimization -- Ridge Regression -- Code Breaking as Optimization -- 8. PCA: Building a Market Index -- Unsupervised Learning -- 9. MDS: Visually Exploring US Senator Similarity -- Contents note continued: Clustering Based on Similarity -- A Brief Introduction to Distance Metrics and Multidirectional Scaling -- How Do US Senators Cluster? -- Analyzing US Senator Roll Call Data (101st--111th Congresses) -- 10. kNN: Recommendation Systems -- The k-Nearest Neighbors Algorithm -- R Package Installation Data -- 11. Analyzing Social Graphs -- Social Network Analysis -- Thinking Graphically -- Hacking Twitter Social Graph Data -- Working with the Google SocialGraph API -- Analyzing Twitter Networks -- Local Community Structure -- Visualizing the Clustered Twitter Network with Gephi -- Building Your Own "Who to Follow" Engine -- 12. Model Comparison -- SVMs: The Support Vector Machine -- Comparing Algorithms.
- 2015 SpringerIssam El Naqa, Ruijiang Li, Martin J. Murphy, editors.This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
- 2007 ProQuest Safariby Brian D. Foy.
- 2003 ProQuest SafariJames D. Tisdall.Also available: Print – 2003
- 2006 ProQuest SafariJeffrey E.F. Friedl.Introduction to regular expressions -- Extended introductory examples -- Overview of regular expression features and flavors -- The mechanics of expression processing -- Practical regex techniques -- Crafting an efficient expression -- Perl -- Java -- .NET -- PHP.
- 2012 ScienceDirectStormy Attaway.MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader through both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems. The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering applications. The third edition of MATLAB: A Practical Introduction to Programming and Problem Solving has been updated to reflect the functionality of the current version of MATLAB. It features new and revised end-of-chapter exercises, stronger coverage of loops and vectorizing, and more engineering applications to help the reader learn this software tool in context. Presents programming concepts and MATLAB built-in functions side-by-sideSystematic, step-by-step approach, building on concepts throughout the book, facilitating easier learningSections on common pitfalls and programming guidelines direct students towards best practice.
- 2013 ScienceDirectStormy Attaway.pt. 1. Introduction to programming using MATLAB -- Introduction to Matlab -- Vectors and matrices -- Introduction to MATLAB programming -- Selection statements -- Loop statements and vectorizing code -- MATLAB programs -- String manipulation -- Data structures : cell arrays and structures -- Advanced file input and output -- Advanced functions -- pt. 2. Advanced topics for problem solving with MATLAB -- Advanced plotting techniques -- Basic statistics, sets, sorting, and indexing -- Sights and sounds -- Advanced mathematics.
- 2009 CRCnetBASEQing-Hua Qin, Hui Wang.
- MATLAB for neuroscientists : an introduction to scientific computing in MATLAB. Second edition. [2nd ed.]2014 ScienceDirectPascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam S. Dickey, Nicholas G. Hatsopoulous.
- 2009 ScienceDirectPascal Wallisch ... [et al.].
- 2012 SpringerMauro Borgo, Alessandro Soranzo, Massimo Grassi.Basic operations -- Data handling -- Plotting data -- Start programming -- A better sound -- Create and process images -- Data analysis -- The charm of graphical user interface -- Psychtoolbox : video -- Psychtoolbox : sound, keyboard and mouse.
- 2005 CRCnetBASETimothy A. Davis, Kermit Sigmon.Also available: Print – 2005
- 2015 SpringerNaakesh A. Dewan, John S. Luo, Nancy M. Lorenzi, editors.Past, Present and Future Policy Landscape for Technology in Public Mental Health Care -- Electronic Health Records Technology: Policy and Realities -- Leading Health IT Optimization: A Next Frontier -- Computer aided Psychotherapy Technologies -- Cognitive Assessment and Enhancement Technologies -- Digital platform and technology innovation in treatment of substance use disorders -- Technology and Adolescent Behavioral Health Care -- An Overview of Practicing High Quality Telepsychiatry -- Virtual Reality Technologies -- Social Media Technologies -- Technology Tools supportive of DSM-V: An Overview -- Summary and Look Forward.
- 2014 CRCnetBASEedited by Luis Rueda.Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis methods from the multidisciplinary international research community. Delivering a detailed discussion of the biological aspects and applications of microarrays, the book:Describes the key stages of image processing, gridding, segmentation, compression, quantification, and normalizationFeatures cutting-edge approaches to clustering, biclustering, and the reconstruction of regulatory networksCovers different ty.
- 2007 ProQuest SafariJohn L. Viescas, Jeff Conrad.1. Understanding Microsoft Access -- 2. Building an Access 2007 Desktop Application -- 3. Creating Forms and Reports in a Desktop Application -- 4. Automating an Access Application -- 5. Linking Access and the Web -- 6. After Completing Your Application -- 7. Designing an Access Project -- 8. Articles.Also available: Print – 2007
- 2007 ProQuest SafariJim Boyce, Beth Sheresh, Doug Sheresh.
- 2007 ProQuest SafariTeresa S. Stover.
- 2007 ProQuest SafariMark H. Walker.
- 2007 ProQuest SafariPeter G. Aitken.
- 2007 ProQuest SafariFaithe Wempen.
- 2007 ProQuest SafariElaine Marmel.
- 2007 SpringerScot Hillier.
- 2006 SpringerScot P. Hillier.
- 2007 ProQuest SafariHerb Tyson.
- 2011 CRCnetBASE[edited by] David Lo, Siau-Cheng Khoo, Jiawei Han, Chao Liu.1. Specification mining : a concise introduction / David Lo ... [et al.] -- 2. Mining finite-state automata with annotations / Leonardo Mariani ... [et al.] -- 3. Adapting grammar inference techniques to mine state machines / Neil Walkinshaw and Kirill Bogdanov -- 4. Mining API usage protocols from large methods traces / Michael Pradel and Thomas R. Gross -- 5. Static API specification mining : exploiting source code model checking / Mithun Acharya and Tao Xie -- 6. Static specification mining using automata-based abstractions / Eran Yahav ... [et al.] -- 7. DynaMine : finding usage patterns and their violations by mining software repositories / Benjamin Livshits and Thomas Zimmermann -- 8. Automatic inference and effective application of temporal specifications / Jinlin Yang and David Evans -- 9. Path-aware static program analyses for specification mining / Muralikrishna Ramanathan, Ananth Grama, and Suresh Jagannathan -- 10. Mining API usage specifications via searching source code from the Web / Suresh Thummalapenta, Tao Xie, and Madhuri R. Marri -- 11. Merlin : specification inference for explicit information flow problems / Benjamin Livshits ... [et al.] -- 12. Lightweight mining of object usage / Andrzej Wasylkowski and Andreas Zeller.
- 2012 ScienceDirect[edited by] Zhaohui Wu, Huajun Chen, Xiaohong Jiang, Zhejiang University, Hangzhou, China.Recognized as an essential component of Chinese culture, Traditional Chinese Medicine (TCM) is both an ancient medical system and one still used widely in China today. TCM's independently evolved knowledge system is expressed mainly in the Chinese language and the information is frequently only available through ancient classics and confidential family records, making it difficult to utilize. The major concern in TCM is how to consolidate and integrate the data, enabling efficient retrieval and discovery of novel knowledge from the dispersed data. Computational approaches such as data mining, semantic reasoning and computational intelligence have emerged as innovative approaches for the reservation and utilization of this knowledge system. Typically, this requires an inter-disciplinary approach involving Chinese culture, computer science, modern healthcare and life sciences. This book examines the computerization of TCM information and knowledge to provide intelligent resources and supporting evidences for clinical decision-making, drug discovery, and education. Recent research results from the Traditional Chinese Medicine Informatics Group of Zhejiang University are presented, gathering in one resource systematic approaches for massive data processing in TCM. These include the utilization of modern Semantic Web and data mining methods for more advanced data integration, data analysis and integrative knowledge discovery. This book will appeal to medical professionals, life sciences students, computer scientists, and those interested in integrative, complementary, and alternative medicine. Interdisciplinary book bringing together Traditional Chinese Medicine and computer scientists. Introduces novel network technologies to Traditional Chinese Medicine informaticsProvides theory and practical examples and case studies of new techniques.
- 2006 ScienceDirectedited by Bernadette Bouchon-Meunier, Giulianella Coletti, Ronald R. Yager.Entropies, characterizations, applications and some history / János Aczél -- Belief function theory on the continuous space with an application to model based classification / B. Ristic and Ph. Smets -- Independence in conditional possibility theory / G. Coletti and B. Vantaggi -- Joint treatment of imprecision and randomness in uncertainty propagation / C. Baudrit, D. Dubois, D. Guyonnet and H. Fargier -- Consistency of probabilistic transformations of belief functions / M. Daniel -- Randomization and uncertain inference / Henry E. Kyburg, Jr. and Choh Man Teng -- An empirical complexity study for a 2CPA solver / M. Baioletti, A. Capotorti and S. Tulipani -- Consistency in preference modelling / José Luis García-Lapresta and Javier Montero -- Transitive decomposition of min-transitive fuzzy relations / S. Díaz, B. De Baets and S. Montes -- Decision making with fuzzy ternary relations / S. Ovchinnikov -- New consistency properties for preference relations / F. Chiclana, E. Herrera-Viedma and F. Herrera -- Management of uncertainty orderings through ASP / Andrea Capotorti and Andrea Formisano -- Automating the quality assurance of an on-line knowledge-based classifier by fusing multiple off-line classifiers / Piero P. Bonissone -- Qualitative classification with possibilistic decision trees / Nahla Ben Amor, Salem Benferhat and Zied Elouedi -- Discovery of abstract knowledge from non-atomic attribute values in fuzzy relational databases / Rafal A. Angryk and Frederick E. Petry -- Kernel-based outlier preserving clustering with representativity coefficients / M.-J. Lesot -- Fuzzy C-medoids clustering models for time-varying data / R. Coppi, P. D'Urso and P. Giordani -- Improving the K2 algorithm using association rule parameters / Evelina Lamma, Fabrizio Riguzzi and Sergio Storari -- OWA aggregation on an interval argument / Ronald R. Yager -- On bi-capacity-based concordance rules in multicriteria decision making / A. Rolland -- Information evaluation in fusion : formalization of informal recommendations / Laurence Cholvy -- Application of uncertainty-based methods to fuse language identification expert decisions / J. Gutiérrez, J.-L. Rouas and R. André-Obrecht -- Intelligent multiattribute decision support model for medical triage / F. Burstein, Jocelyn San Pedro, Leonid Churilov and Jeff Wassertheil -- Interval-based multicriteria decision making / Martine Ceberio and François Modave -- A linguistic hierarchical evaluation model for engineering systems / L. Martínez, L.G. Pérez, J. Liu, J.B. Yang and F. Herrera -- Non monotonic aggregates applying to fuzzy sets in flexible querying / Patrick Bosc and Ludovic Liétard -- Fuzzy spatial data modeling : an extended bitmap approach / Jörg Verstraete, Guy De Tré and Axel Hallez -- Introducing [lambda]-specialization into the fuzzy EER model / Guoqing Chen, Ling Lin and Xunhua Guo -- A logical reasoning framework for modelling and merging uncertain semi-structured information / Anthony Hunter and Weiru Liu -- Machine learning and the prediction of protein structure : the state of the art / Rita Casadio, Remo Calabrese, Emidio Capriotti, Mario Compiani, Piero Fariselli, Paola Marani, Ludovica Montanucci, Pier Luigi Martelli, Ivan Rossi and Gianluca Tasco -- Efficient and robust global amino acid sequence alignment with uncertain evolutionary distance / Matthias C.M. Troffaes -- Classifying biomedical spectra using stochastic feature selection and parallelized multi-layer perceptrons / N.J. Pizzi, R.L. Somorjai and W. Pedrycz -- On the sensitivity of probabilistic networks to reliability characteristics / Linda C. van der Gaag and Silja Renooij -- Dominance of recognition of words presented on right or left eye (comparison of kanji and hiragana) / Takahiro Yamanoi, Toshimasa Yamazaki, Jean-Louis Vercher, Elie Sanchez and Michio Sugeno -- Hand posture recognition with the fuzzy glove / T. Allevard, E. Benoit and L. Foulloy -- Image retrieval by composition of regions / J.F. Omhover and M. Detyniecki -- Blind image restoration from multiple views by IMAP estimation / Monia Discepoli, Ivan Gerace and Roberta Pandolfi -- A combined feature extraction method for an electronic nose / I. Hristozov, B. Iliev and S. Eskiizmirliler.
- v.1-2, 2011 Springerv.2 (2011) SpringerAyman S. El-Baz, Rajendra Acharya U, Majid Mirmehdi, Jasjit S. Suri.
- Paul DuBois.This book offers dozens of short, focused pieces of code and hundreds of worked-out examples for programmers of all levels who don't have the time or expertise to solve MySQL problems from scratch. Each recipe explains how and why the code works, so you'll learn as you. This new edition covers MySQL 5.0 and its powerful new features, along with the older but still widespread MySQL 4.1.
- Networking and Information Technology Research and Development Program : supplement to the President's budget for fiscal year 2008 : a report2007by the Subcommittee on Networking and Information Technology Research and Development, Committee on Technology, National Science and Technology Council.
- Neural networks for applied sciences and engineering : from fundamentals to complex pattern recognition2007 CRCnetBASESandhya Samarasinghe.
- 2013 SpringerAlberta Ferrari, Adele Sgarella, Sandro Zonta, Editors ; foreword by Virgilio Sacchini.This book describes in detail three different techniques for minimally invasive video-assisted breast surgery: nipple-sparing mastectomy with a hand-held external retractor, with a single-port device, and with robotic assistance. All three techniques can be employed for radical treatment of breast cancer or for risk reduction surgery, and the last two are brand new. The techniques are clearly explained with the aid of numerous high-quality illustrations. All surgical stages are covered in detail, and helpful information is provided on key aspects of surgical anatomy, diagnostic workup, instrumentation, and postoperative management. Nipple Sparing Mastectomy is the first manual to cover these techniques, which are likely to become standard in the field of oncological breast surgery. It will be invaluable for breast surgeons who are skilled in nipple-sparing mastectomy and oncoplastic techniques or are working in breast units that offer genetic counseling to high-risk patients.
- 2011 CRCnetBASEDieter Rasch, Jürgen Pilz, Rob Verdooren, Albrecht Gebhardt."Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experimental question. Providing a concise introduction to experimental design theory, Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R program package: OPDOE. Consisting of detailed, data-rich examples, this book introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis testing, and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians"--Back cover.
- 2005 ProQuest SafariSteven Feuerstein, Bill Pribyl and Jonathan Gennick.
- 2005 ProQuest SafariJonathan Gennick.
- 2005 SpringerMike Gunderloy.
- 2010 SpringerRoy C.P. Kerckhoffs, editor.Integrating State-of-the-Art Computational Modeling with Clinical Practice: The Promise of Numerical Methods / David E. Krummen, Gainyu Oshodi and Sanjiv M. Narayan -- Patient-Specific Modeling of Cardiovascular Dynamics with a Major Role for Adaptation / Theo Arts, Joost Lumens, Wilco Kroon, Dirk Donker and Frits Prinzen, et al. -- Patient-Specific Modeling of Structure and Function of Cardiac Cells / Frank B. Sachse -- Studies of Therapeutic Strategies for Atrial Fibrillation Based on a Biophysical Model of the Human Atria / Laurent Uldry, Nathalie Virag, Jean-Marc Vesin and Lukas Kappenberger -- Patient-Specific Modeling for Critical Care / Maxwell Lewis Neal -- Biomechanical Analysis of Abdominal Aortic Aneurysms / Lambert Speelman, Mariëlle Bosboom, Geert W. H. Schurink and Frans N. v.d. Vosse -- The Cardiac Atlas Project: Towards a Map of the Heart / Michael Backhaus, Jae Do Chung, Brett R. Cowan, Carissa G. Fonseca and Wenchao Tao, et al. -- In Vivo Myocardial Material Properties and Stress Distributions in Normal and Failing Human Hearts / Jonathan F. Wenk, Zhihong Zhang, Guangming Cheng, Kay Sun and Joseph C. Walker, et al. -- Modeling of Whole-Heart Electrophysiology and Mechanics: Toward Patient-Specific Simulations / Fijoy Vadakkumpadan, Viatcheslav Gurev, Jason Constantino, Hermenegild Arevalo and Natalia Trayanova -- Personalized Computational Models of the Heart for Cardiac Resynchronization Therapy / Maxime Sermesant and Reza Razavi -- Patient-Specific Modeling of Hypoxic Response and Microvasculature Dynamics / Joanna Nathan and Amina Ann Qutub -- A Computational Framework for Patient-Specific Multi-Scale Cardiac Modeling / Jazmin Aguado-Sierra, Roy C. P. Kerckhoffs, Fred Lionetti, Darlene Hunt and Chris Villongco, et al.
- 2003 ProQuest SafariTom Christiansen and Nathan Torkington.Also available: Print – 2003
- 2007 CRCnetBASEedited by Jakob E. Bardram, Alex Mihailidis, Dadong Wan.Overview of healthcare, disease, and disability / Jeffrey Kaye, Tracy Zitzelberger -- Computer science tools and techniques / Martha E. Pollack, Bart Peintner -- Pervasive computing in hospitals / Jakob E. Bardram, Heribert Baldus, Jesus Favela -- Pervasive computing in the home and community / Donald J. Patterson, Henry A. Kautz, Dieter Fox, Lin Liao -- Mobile and personal health and wellness management systems / Elina Mattila, Ilkka Korhonen, Niilo Saranummi -- Sensors and wearable technologies for pervasive healthcare / Sungmee Park, Sundaresan Jayaraman -- Assistive technologies / Edmund LoPresti -- Human factors and usability of healthcare systems / Andre Kushniruk, Elizabeth Borycki -- Routes and requirements for realizing pervasive medical devices / Michael P. Craven -- User evaluation in pervasive healthcare / Tim Adlam, Roger Orpwood, Teresa Dunn -- The business of pervasive healthcare / Dadong Wan, Luis E. Taveras.
- 2007 ProQuest SafariLaurie Ulrich Fuller, Robert C. Fuller.
- 2012 CRCnetBASEK.J. Blinowska, J. Zygierewicz.1. Introductory concepts -- 2. Single channel (univariate) signal -- 3. Multiple channels (multivariate) signals -- 4. Application to biomedical signals.
- 2012 CRCnetBASEMonte F. Hancock, Jr.What is data mining and what can it do? -- The data mining process -- Problem definition (Step 1) -- Data evaluation (Step 2) -- Feature extraction and enhancement (Step 3) -- Prototyping plan and model development (Step 4) -- Model evaluation (Step 5) -- Implementation (Step 6) -- Supervised learning Genre section 1 - Detecting and characterizing known patterns -- Forensic analysis Genre Section 2 -Detecting, characterizing, and exploiting hidden patterns -- Genre Section 3 - Knowledge : Its acquisition, representation, and use.
- 2007 CRCnetBASESusanne Prokscha.Also available: Print – 2007
- 2001 ProQuest SafariJudith S. Bowman, Sandra L. Emerson, Marcy Darnovsky.SQL and relational database management -- Designing databases -- Creating and filling a database -- Selecting data from the database -- Sorting data and other selection techniques -- Grouping data and reporting from it -- Joining tables for comprehensive data analysis -- Structuring queries with subqueries -- Creating and using views -- Security, transactions, performance, and integrity -- Solving business problems.Also available: Print – 2001
- 2012 SpringerTim Benson.Part 1. Principles of Health Interoperability -- The Health Information Revolution -- Why Interoperability is Hard -- Models -- UML and XML -- Privacy -- Standards Development Organizations -- Part 2. HL7 and Interchange Formats -- HL7 Version 2 -- The HL7 V3 RIM -- Constrained Information Models -- Clinical Document Architecture -- HL7 Dynamic Model -- IHE XDS -- Part 3. SNOMED and Terminology -- Clinical Terminology -- Coding and Classification Schemes -- SNOMED CT -- SNOMED CT Concept Model -- Using SNOMED and HL7 Together.
- 2007 SpringerEd Hild with Susie Adams.
- 2008 Springeredited by Joyce H.D.M. Westerink ... [et al.].
- 2007 ProQuest SafariToby Segaran.
- 2012 CRCnetBASEMichael F. Lawrence, John Verzani."Preface About this book Two common types of user interfaces in statistical computing are the command line interface (CLI) and the graphical user interface (GUI). The usual CLI consists of a textual console in which the user types a sequence of commands at a prompt, and the output of the commands is printed to the console as text. The R console is an example of a CLI. A GUI is the primary means of interacting with desktop environments, such as Windows and Mac OS X, and statistical software, such as JMP. GUIs are contained within windows, and resources, such as documents, are represented by graphical icons. User controls are packed into hierarchical drop-down menus, buttons, sliders, etc. The user manipulates the windows, icons, and menus with a pointer device, such as a mouse. The R language, like its predecessor S, is designed for interactive use through a command line interface (CLI), and the CLI remains the primary interface to R. However, the graphical user interface (GUI) has emerged as an effective alternative, depending on the specific task and the target audience. With respect to GUIs, we see R users falling into three main target audiences: those who are familiar with programming R, those who are still learning how to program, and those who have no interest in programming. On some platforms, such as Windows and Mac OS X, R has graphical front-ends that provide a CLI through a text console control. Similar examples include the multi-platform RStudioTM IDE, the Java-based JGR and the RKWard GUI for the Linux KDE desktop. Although these interfaces are GUIs, they are still very much in essence CLIs, in that the primary mode of interacting with R is the same. Thus, these GUIs appeal mostly to those who are comfortable with R programming"-- Provided by publisher.
- 2005 ProQuest Safariedited by Alex Martelli, Anna Martelli Ravenscroft, and David Ascher.
- 2010 CRCnetBASESebastian Bassi.I. PROGRAMMING. 1. Introduction -- 2. First Steps with Python -- 3. Basic Programming: Data Types -- 4. Programming: Flow Control -- 5. Dealing with Files -- 6. Code Modularizing -- 7. Error Handling -- 8. Introduction to Object Orienting Programming (OOP) -- 9. Regular Expressions --- II. BIOPYTHON. 10. Introduction to Biopython --- III. ADVANCED TOPICS. 11. Web Applications -- 12. XML -- 13. Python and Databases -- 14. Collaborative Development: Version Control --- IV. PYTHON RECIPES WITH COMMENTED SOURCE CODE. 15. Sequence Manipulation in Batch -- 16. Web Application for Filtering Vector Contamination -- 17. Searching for PCR Primers Using Primer3 -- 18. Calculating Melting Temperature from a Set of Primers -- 19. Filtering out Specific Fields from a Genbank File -- 20. Converting XML Blast File into HTML -- 21. Inferring Splicing Sites -- 22. DNA Mutations with Restrictions -- 23. Web Server for Multiple Alignment -- 24. Drawing Marker Positions Using Data Stored in a Database --- Appendixes. A. Python and Biopython Installation -- B. Selected Papers -- C. Included DVD: Virtual Machine Installation and Use -- D. Python Language Reference -- E. Answers to Odd-Numbered Questions -- F. Python Style Guide.
- 2006 ScienceDirectJim Melton and Stephen Buxton.XML -- Querying -- Querying XML -- Metadata, an overview -- Structural metadata -- The XML information set (Infoset) and beyond -- Managing XML : transforming and connecting -- Storing : XML and databases -- XPath 1.0 and XPath 2.0 -- Introduction to XQuery 1.0 -- XQuery 1.0 definition -- What's missing? -- XQuery APIs -- SQL/XML -- XML-derived markup languages -- Internationalization : putting the "W" in "WWW" -- Finding stuff.
- 2007 WileySU Catalog (SearchWorks) Click LINK above for Print location/circulation status.Michael J. Crawley.Preface -- 1. Getting started -- 2. Essentials of the R language -- 3. Data input -- 4. Dataframes -- 5. Graphics -- 6. Tables -- 7. Mathematics -- 8. Classical tests -- 9. Statistical modelling -- 10. Regression -- 11. Analysis of variance -- 12. Analysis of covariance -- 13. Generalized linear models -- 14. Count data -- 15. Count data in tables -- 16. Proportion data -- 17. Binary response variables -- 18. Generalized additive models -- 19. Mixed-effects models -- 20. Non-linear regression -- 21. Tree models -- 22. Time series analysis -- 23. Multivariate statistics -- 24. Spatial statistics -- 25. Survival analysis -- 26. Simulation models -- 27. Changing the look of graphics -- References and further reading -- Index.
- 2012 CRCnetBASEChristopher Hay-Jahans."Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: Those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance. For those who have never used R, the book begins with a self-contained introduction to R that lays the foundation for later chapters.This book includes extensive and carefully explained examples of how to write programs using the R programming language. These examples cover methods used for linear regression and designed experiments with up to two fixed-effects factors, including blocking variables and covariates. It also demonstrates applications of several pre-packaged functions for complex computational procedures"-- Provided by publisher.
- 2011 ProQuest SafariPaul Teetor.
- 2006 CRCnetBASEPaul Murrell.
- 2011 CRCnetBASEPaul Murrell.An introduction to R graphics -- Traditional graphics. Simple usage of traditional graphics -- Customizing traditional graphics -- Grid graphics. Trellis graphics : the lattice package -- The grammar of graphics : the ggplot2 package -- The grid graphics model -- The grid graphics object model -- Developing new graphics functions and objects -- The graphics engine. Graphics formats -- Graphical parameters -- Graphics packages. Graphics extensions -- Plot extensions -- Graphics for categorical data -- Maps -- Node-and-edge graphs -- 3D graphics -- Dynamic and interactive graphics -- Importing graphics -- Combining graphics systems.
- R graphs cookbook : detailed hands-on recipes for creating the most useful types of graphs in R-starting from the simplest versions to more advanced applications2011 ProQuest SafariHrishi V. Mittal.
- 2010 ProQuest SafariJoseph Adler.
- 2012 CRCnetBASEClaus Thorn Ekstrøm.
- 2016 SpringerKen Herrmann, Omgo E. Nieweg, Stephen P. Povoski, editors.Part 1 Introduction -- The History of Radioguided Surgery: Early Historical Milestones and the Development of Later Innovative Clinical Applications -- Part 2 Detailed Methodology Part -- Physics of Radioguided Surgery -- The use of intraoperative small and large field of view gamma cameras for radioguided surgery -- Surgical Navigation -- Tracers applied in radioguided surgery -- Radiation Safety and Dosimetry -- Part 3 Clinical Application: Breast -- Radioguided sentinel lymph node mapping and biopsy in breast cancer -- Radioguided Surgery for Non-Palpable Breast Lesions: I-125 Radioactive Seed Localization.- Radioguided Surgery for Non-Palpable Breast Lesions: Technetium-99m Radioguided Occult Lesion Localization (ROLL) -- Part 4 Clinical Application: Skin -- Radioguided sentinel lymph node mapping and biopsy in cutaneous melanoma -- Part 5 Clinical Application: Head and Neck -- Sentinel lymph node mapping and biopsy in oral cancer -- Part 6 Clinical Application: Thyroid and Parathyroid -- Radioguided sentinel lymph node mapping and biopsy in thyroid cancer -- Radioguided Parathyroid Surgery -- Radioguided surgery of thyroid carcinoma recurrences -- Part 7 Clinical Application: Urogenital Tract -- Radioguided sentinel lymph node biopsy and lymphatic mapping in urogenital malignancies -- Radioguided sentinel lymph node mapping and biopsy in Gynaecological malignancies -- Part 8 Clinical Application: Gastrointestinal Tract -- Radioguided sentinel lymph node mapping and biopsy in oesophago-gastric -- Radioguided sentinel lymph node mapping and biopsy in colorectal cancer -- Radioguided surgery in gastro-entero-pancreatic neuroendocrine tumors -- Part 9 Clinical Application: Thoracic -- Radioguided sentinel lymph node mapping and biopsy in non-small-cell lung cancer (NSCLC) -- Radioguided surgery of small pulmonary nodules -- Part 10 Miscellaneous -- Radioguided localization of bone lesions -- Radioguided monitoring of systemic leakage during isolated limb perfusion -- Radioimmunoguided Surgery: Intraoperative radioimmunodetection for the radioguided localization and resection of tumors -- 18F-FDG-Directed Surgery and 18F-FDG-Directed Interventional Procedures -- Part 11 Outlook: New techniques, image fusion, optical imaging -- Fluorescent tracers, hybrid tracers -- Magnetic Advances in Cancer Surgery -- Ultrasound fusion -- Part 12 Examples (conventional techniques and innovations). .
- 2005 ScienceDirectKaren Holtzblatt, Jessamyn Burns Wendell, Shelley Wood.
- 2009 CRCnetBASEMichael Panik.Review of fundamental of statistics -- Bivariate linear regression and correlation -- Misspecified disturbance terms -- Nonparametric regression -- Logistic regression -- Bayesian regression -- Robust regression -- Fuzzy regression -- Random coefficients regression -- L1 and q-Quantile regression -- Regression in a spatial domain -- Multiple regression -- Normal correlation models -- Ridge regression -- Indicator variables -- Polynomial model estimation -- Semiparametric regression -- Nonlinear regression -- Issues in time series modeling and estimation.
- 2012 SpringerA. Ravishankar Rao, Guillermo A. Cecchi, editors.Introduction -- Adaptation and contraction theory for the synchronization of complex neural networks -- Temporal coding is not only about cooperation, it is also about competition -- Using non-oscillatory dynamics to disambiguate pattern mixtures -- Functional constraints on network topology via generalized sparse -- Evolution of time in neural networks, from the present to the past, and forward to the future -- Synchronization of coupled pulse-type hardware neuron models for CPG model -- A univesal abstract-time platform for real-time neural networks -- Solving complex control tasks via simple rule(s), using chaotic dynamics in a recurrent neural network model -- Time scale analysis of neuronal ensemble data used to feed neural network models -- Simultaneous EEG-fMRI, integrating spatial and temporal resolution -- Erratum to: Time scale analysis of neuronal ensemble data used to feed neural network models.
- 2014 SpringerGo Watanabe, editor.1. Overview of robotic surgery -- 2. The de Vinci Surgical® systesm -- 3. Development of robotic systems -- 4. Robotic surgery in urology -- 5. Robotic gastrectomy for gastric cancer -- 6. Esophageal cancer surgery: robotic esophagectomy - 7. Lateral pelvic node dissection for advanced rectal cancer: current debates and use of the robotic approach -- 8. Cardiac surgery: overview -- 9. Robotically assisted totally endoscopic coronary artery bypass grafting -- 10. Robotic surgery for mitral valve disease -- 11. Robotic surgery in general thoracic surgery -- 12. Robot-assisted thyroidectomy.
- 2015 SpringerGiuseppe Spinoglio, editor ; in collaboration with Alessandra Marano and Giampaolo Formisano ; forewords by Giorgio De Toma, Francesco Corcione.This book describes the current applications of the robotic system in general surgery, focusing on the technical aspects of the procedures most commonly performed by this means. It provides a comprehensive overview of the state of the art in robotic surgery and presents the most recently available evidence as documented in the literature. The opening chapters review robotic platforms, discuss the general advantages, limitations, and strategies of robotic surgery, and identify challenges and critical elements when setting up a robotic program. The full range of applications of the robotic system is then covered, encompassing thoracic, esophageal, gastric, hepatobiliopancreatic, splenic, colorectal, endocrine, and transplantation surgery. Detailed attention is also paid to innovative applications and future trends in the robotic platform, with inclusion of a special chapter on fluorescence imaging during robotic procedures. The book closes by considering aspects related to credentialing and privileging, such as mentoring, proctoring, and teaching modules for residents and fellows. Against the background of increasing acceptance of the robotic surgery system across the globe, this book will be invaluable for all general surgeons. There is no doubt that within general surgery the system will continue to flourish on account of its undoubted technical advantages, which minimize most of the intrinsic shortcomings of laparoscopy.
- 2006 ProQuest SafariMatthias Kalle Dalheimer and Matt Welsh.
- 2014 CRCnetBASEKen Kleinman, Nicholas J. Horton.1. Data input and output -- 2. Data management -- 3. Statistical and mathematical functions -- 4. Programming and operating system interface -- 5. Common statistical procedures -- 6. Linear regression and ANOVA -- 7. Regression generalizations and modeling -- 8. A graphical compendium -- 9. Graphical options and configuration -- 10. Simulation -- 11. Special topics -- 12. Case studies.
- 2010 CRCnetBASEKen Kleinman, Nicholas J. Horton.
- 2007 ProQuest SafariStephen McDaniel.
- 2010 ProQuest SafariRon Cody.Character functions -- Perl regular expressions -- Sort functions -- Date and time functions -- Array functions -- Truncation functions -- Descriptive statistics functions -- Mathematical and numeric functions -- Random number functions -- Special functions -- State and ZIP code functions -- Trigonometric functions -- Macro functions -- SAS file I/O functions -- Variable information functions -- Bitwise logical functions.
- Scientific and statistical database management : 20th international conference, SSDBM 2008, Hong Kong, China, July 9-11, 2008 : proceedings2008 SpringerBertram Ludäscher, Nikos Mamoulis (eds.).
- 2008 ProQuest SafariJerry Sedgewick.Also available: Print – 2008
- Seth Bates and Tony Smith.
- Seth Bates and Tony Smith.
- 2012 SpringerHitendra R.H. Patel, Jean V. Joseph, editors.Lessons Learned from the Aviation Industry: Surgical Checklists / Stig Müller and Hitendra R. H. Patel -- Human Factors, Nontechnical Skills, and Surgical Training / Stig Müller, Waleed Al-Singary and Hitendra R. H. Patel -- Current State of Laparoscopic and Robotic Surgery / Jens J. Rassweiler, Marcel Hruza, Thomas Frede and Salvatore Micali -- Simulation and Training in Minimally Invasive Surgery / Sonal Arora, Shabnam Undre and Roger Kneebone -- Value of Virtual Reality in Medical Education / Amina A. Bouhelal, Hitendra R. H. Patel and Bijendra Patel -- The MIMIC Virtual Reality Trainer: Stepping into Three-Dimensional, Binocular, Robotic Simulation / Steven M. Lucas and Chandru P. Sundaram -- Laparoscopic Cholecystectomy Skills Acquisition and Procedural Proficiency in Novices Using Virtual Reality / Amina A. Bouhelal, Hitendra R. H. Patel and Bijendra Patel -- Lesson Learnt from the Military Surgeons Using Simulation in Trauma Surgery / Simon S. Fleming and John-Joe Reilly -- Clinical and Educational Benefits of Surgical Telementoring / Knut Mague Augestad, Taridzo Chomutare, Johan G. Bellika, Andrius Budrionis and Rolv-Ole Lindsetmo, et al. -- Portable Learning and Multimedia in Surgical Training / Narinderjit Singh Kullar, Stig Müller and Hitendra R. H. Patel.
- 2013 SpringerBertalan Meskó.Social media has been clearly changing the way medicine is practiced and healthcare is delivered. Medical professionals must be able to meet the special needs of technology-aware patients and use digital technologies in their work and communications properly. Each physician should find the tools that will assist them in their workflow, and patients need to be educated how to use the internet. It is the responsibility of medical professionals to contribute to this process. The constantly evolving digital world must be used in the practice of medicine to improve the care of patients. However, the only way to do so effectively is via evidence-based, meaningful and strategic use. Social Media in Clinical Practice provides practical guidance in this mission and is thus essential reading for all medical personal looking into approaching this for the first time.
- 2011James Joseph Wagner.People with severe physical disabilities who have non-technical backgrounds are unlikely candidates to be able to operate vocational assistive robots. Such robotic devices have been costly, complex, programmable only by experts, and prohibitive to user changes. This dissertation describes the design approach created in the development of a small desktop robot system called the Professional Vocational Assistant Robot (ProVAR). ProVAR deals explicitly with the social aspects of human-robot interaction to help individuals with tetraplegia to use the robot. This design approach was heavily influenced by the theory of Social Responses to Communication Technologies (SRCT) and by psychology research that shows the power of a team in complex command, design and learning scenarios. The SRCT concept holds that people's reactions and interactions with computers and other new media entities follow the same social rules used in human-human interactions. If those reactions can be enhanced, the success of assistive robotic systems dependent on them can also be increased. The leveraging of social responses can increase tolerance for the robotic systems' difficulties, and thus increase the chance of adoption and sustained use of the assistive devices by lay users not experienced in computers, robots, or mechanical control devices. A new theory, growing out of SRCT, was proposed. "Social Responses to Somatic Technology" (SRST) guided the development of ProVAR. It is based on a robot users perception that a somatic, e.g., robotic, technology device is, in fact, a social entity. As does a human social entity, each technological social entity consists of two components: the "body" and the "mind." The ProVAR System was designed with two complete social entities, or personalities; both induce social responses. Each of ProVAR's two personalities is expected to maintain a personal relationship with the users, in this case, with an individual with severe physical disabilities and with the occupational therapist responsible for his/her rehabilitation. ProVAR's graphical user interface, named "Jiminey, " is primarily considered by the user to be a mind: a smart consultant/coach. ProVAR's robotic arm, "Pinocchio, " is primarily perceived by the user to be a body: the down-to-earth do'er itself. Even though each of these social entities does have both a body and a mind, each personality's different dominant characteristic allows the user to perceive that he/she is functioning as a teammate with two other distinct entities. These three partners work together to help manage and take advantage of the special capabilities of the ProVAR System to complete desired tasks. During Experiment 1, ProVAR showed 100% of novice users able independently to execute both preprogrammed tasks and also the more complicated manipulation of existing tasks and creation of new ones. ProVAR's SRST-inspired design is effective, with seven of eight metrics positively ranked by users. One additional finding showed that training first on the user interface alone without the presence of the robotic arm was not time effective. A further examination of the application of the SRST concept of "Social Entity = Body + Mind" was done in Experiment 2, studying the effect of the body and the mind of the robotic arm being perceived not to be co-located but in separate locations. Results showed that usability was ranked higher by the study participants if the arm (the body) was perceived as autonomous, i.e., controlling itself (by its mind) with an internal inboard computer, rather than the arm being remote-controlled, i.e., teleoperated (by its mind), in a computer located in another room.
- 2008 CRCnetBASEJulio Sanchez, Maria P. Canton.
- 2013 SpringerJohn G. Taylor.This book details a model of consciousness supported by scientific experimental data from the human brain. It presents how the Corollary Discharge of Attention Movement (CODAM) neural network model allows for a scientific understanding of consciousness as well as provides a solution to the Mind-Body problem. The book provides readers with a general approach to consciousness that is powerful enough to lead to the inner self and its ramifications for the vast range of human experiences. It also offers an approach to the evolution of human consciousness and features chapters on mental disease (especially schizophrenia) and on meditative states (including drug-induced states of mind). Solving the Mind-Body Problem bridges the gap that exists between philosophers of mind and the neuroscience community, allowing the enormous weight of theorizing on the nature of mind to be brought to earth and put under the probing gaze of the scientific facts of life and mind.
- 2006 ProQuest SafariAnthony Molinaro.Retrieving records -- Sorting query results -- Working with multiple tables -- Inserting, updating, deleting -- Metadata queries -- Working with strings -- Working with numbers -- Date arithmetic -- Date manipulation -- Working with ranges -- Advanced searching -- Reporting and warehousing -- Hierarchical queries -- Odds 'n' ends.
- 2006 SUNet ID login required to search for this titleAllen G. Taylor.
- Stabilization of human walking by muscles revealed using three-dimensional muscle-driven simulations2012Chand Thomas John.Walking is the primary way in which humans move around in daily life. Stroke, injuries, or neuromuscular disorders such as cerebral palsy can impair an individual's ability to walk, thereby making activities of daily life much more difficult. Treatment of walking disorders targets muscles, but the mechanisms by which muscle forces influence body motion are poorly understood. Because important quantities like muscle forces cannot be measured during movement, experimental methods alone are insufficient for improving our understanding of the cause-effect relationships underlying the control of human walking. Muscle-driven simulations have emerged as powerful tools for calculating muscle forces and investigating how muscle forces influence body motion. This dissertation presents a new "residual reduction algorithm" for improving the consistency in a model between motion and force data collected during motion capture, enabling the generation of simulations of long-duration gait movements such as walking and running. This algorithm has enabled hundreds of researchers around the world to generate simulations of walking. This algorithm was used to generate a thoroughly tested, three-dimensional muscle-driven simulation of an unimpaired man walking for ten gait cycles. This simulation has been made freely available at https://simtk.org/home/muscleprops so other researchers can download, reproduce, modify, and analyze this simulation to investigate questions regarding human walking without having to generate their own simulations from their own motion capture data, thereby saving thousands of man-hours of time for the field of computational biomechanics. We used this simulation to resolve a long-standing mystery in movement science: how the human body responds to external disturbances when the central nervous system's responses are substantially delayed. We showed that intrinsic properties of muscles help stabilize walking by responding instantaneously to disturbances, thereby complementing the central nervous system's delayed response. This study demonstrates the utility of simulations for investigating questions about human walking that cannot be explored with experimental methods alone. The residual reduction algorithm also enabled the generation of 32 simulations of eight subjects walking at four different speeds. We analyzed these simulations to determine which muscle groups make the largest contributions to mediolateral ground reaction force across a range of speeds. We showed that walking speed affects peak lateral ground reaction force in early stance and peak medial ground reaction force during early single support. The hip abductors are the largest contributors of medial ground reaction force at all walking speeds. The calf muscles, knee extensors, and adductors oppose the abductors by contributing lateral ground reaction forces. The work presented in this dissertation has enabled several studies to be performed using muscle-driven simulations to gain insight into how muscles modulate walking and running movements. This dissertation presents two such studies that reveal insight into how muscle properties help stabilize walking and how muscles contribute to mediolateral stability during walking.
- 2010 CRCnetBASEGeorge Fernandez.
- 2012 CRCnetBASEedited by Mireille Gettler Summa, Léon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, and Myriam Touati."Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data world that we inhabit.Statistical Learning and Data Science is a work of reference in the rapidly evolving context of converging methodologies. It gathers contributions from some of the foundational thinkers in the different fields of data analysis to the major theoretical results in the domain. On the methodological front, the volume includes conformal prediction and frameworks for assessing confidence in outputs, together with attendant risk. It illustrates a wide range of applications, including semantics, credit risk, energy production, genomics, and ecology. The book also addresses issues of origin and evolutions in the unsupervised data analysis arena, and presents some approaches for time series, symbolic data, and functional data. Over the history of multidimensional data analysis, more and more complex data have become available for processing. Supervised machine learning, semi-supervised analysis approaches, and unsupervised data analysis, provide great capability for addressing the digital data deluge. Exploring the foundations and recent breakthroughs in the field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our social, business, and physical environments. "-- Provided by publisher.
- 2007 CRCnetBASEErnst-Erich Doberkat.
- v. 184, 212-213, 216, 2005, 2007. SpringerAlso available: Print – v. 83, 2002.
- 2008Succinct guide to Windows users migrating to the Mac.
- 2008 SpringerErica Sadun.A guide to the iPhone discusses the features of the device, including the iPhone media and the QWERTY keyboard, as well as its e-mail, voicemail, and calendar functions; Internet connectivity and applications; third-party software to enhance the iPhone; iTunes, iBooks, and iPhone games; power user applications; and accessories
- 2010 ProQuest Safariby Lonzell Watson.Exploring the iPad -- Understanding what you can do with your iPad -- Configuring the iPad -- Getting the most from the internet -- Maximizing email on the iPad -- Syncing the iPad -- Getting the most from iTunes and photos -- Getting the most from YouTube and iBooks -- Managing contacts and appointments -- Simplifying your life with the iPad -- Enhance your iPad with the app store -- Maintaining and troubleshooting the iPad.
- Harrison's Principles of Internal Medicine
- AAP Red Book Online
- Robbins & Cotran Pathologic Basis of Disease
- Sabiston Textbook of Surgery
- Nelson's Textbook of Pediatrics
- Surgical Exposures in Orthopaedics
- Mandell, Douglas, & Bennett's Principles & Practice of Infectious Diseases
- Red Book Online
- ICU Book
- Primary Care Medicine
- Campbell-Walsh Urology
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