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This book provides an introduction to processing clinical and population health data using rigorous methods and widely available, low cost, but very capable tools. The inclusion of the three leading dynamic programming languages broadens the appeal … bridges the gap from programming instruction to dealing with specialized medical data, making it possible to teach a relevant programming course in a biomedical environment. I would have loved to have a copy of this when I was teaching introductory programming for medical informatics. —Professor James H. Harrison, Jr., Director of Clinical Informatics, University of Virginia … presents students and professionals in the healthcare field (who have some working knowledge of the open-source programming languages Perl, Python, or Ruby) with instruction for applying basic informatics algorithms to medical data sets. He [the author] provides algorithm scripts for each of the languages, along with step-by-step explanations of the algorithms used for retrieving, organizing, merging, and analyzing such data sources as the National Cancer Institute’s Surveillance Epidemiology and End Results project, the National Library of Medicine’s PubMed service, the mortality records of the US Centers for Disease Control and Prevention, the US Census, and the Online Mendelian Inheritance in Man data set on inherited conditions. —SciTech Book News, February 2011 Product Description Too often, healthcare workers are led to believe that medical informatics is a complex field that can only be mastered by teams of professional programmers. This is simply not the case. With just a few dozen simple algorithms, easily implemented with open source programming languages, you can fully utilize the medical information contained in clinical and research datasets. The common computational tasks of medical informatics are accessible to anyone willing to learn the basics. Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and Ruby demonstrates that biomedical professionals with fundamental programming knowledge can master any kind of data collection. Providing you with access to data, nomenclatures, and programming scripts and languages that are all free and publicly available, this book — Describes the structure of data sources used, with instructions for downloading Includes a clearly written explanation of each algorithm Offers equivalent scripts in Perl, Python, and Ruby, for each algorithm Shows how to write short, quickly learned scripts, using a minimal selection of commands Teaches basic informatics methods for retrieving, organizing, merging, and analyzing data sources Provides case studies that detail the kinds of questions that biomedical scientists can ask and answer with public data and an open source programming language Requiring no more than a working knowledge of Perl, Python, or Ruby, Methods in Medical Informatics will have you writing powerful programs in just a few minutes. Within its chapters, you will find descriptions of the basic methods and implementations needed to complete many of the projects you will encounter in your biomedical career.

Ruby is a fully object-oriented language, much like the classic object-oriented language, Smalltalk. Like Smalltalk, it is dynamically typed (as opposed to Java or C++), but unlike Smalltalk, Ruby features the same conveniences found in modern scripting languages, making Ruby a favorite tool of intelligent, forward-thinking programmers and the basis for the Rails web framework. This is the reference manual for Ruby, including a description of all the standard library modules, a complete reference to all built-in classes and modules (including all the new and changed methods introduced by Ruby 1.9). It also includes all the new and changed syntax and semantics introduced since Ruby 1.8. Learn about the new parameter passing rules, local variable scoping in blocks, fibers, multinationalization, and the new block declaration syntax, among other exciting new features. About the Author Dave Thomas, as one of the authors of the Agile Manifesto, understands agility. As the author of "Programming Ruby," he understands Ruby. And, as an active Rails developer, he knows Rails. Chad Fowler is an internationally known software developer, trainer, manager, speaker, and musician. Over the past decade he has worked with some of the world's largest companies and most admired software developers. Chad is VP of Engineering at LivingSocial. He is co-organizer of RubyConf and RailsConf and author or co-author of a number of popular software books, including The Passionate Programmer: Creating a Remarkable Career in Software Development. Andy Hunt is a programmer turned consultant, author and publisher. He co-authored the best-selling book "The Pragmatic Programmer", was one of the 17 founders of the Agile Alliance, and co-founded the Pragmatic Bookshelf, publishing award-winning and critically acclaimed books for software developers.

Product Description Research on real-time Java technology has been prolific over the past decade, leading to a large number of corresponding hardware and software solutions, and frameworks for distributed and embedded real-time Java systems. This book is aimed primarily at researchers in real-time embedded systems, particularly those who wish to understand the current state of the art in using Java in this domain. Much of the work in real-time distributed, embedded and real-time Java has focused on the Real-time Specification for Java (RTSJ) as the underlying base technology, and consequently many of the Chapters in this book address issues with, or solve problems using, this framework. Describes innovative techniques in: scheduling, memory management, quality of service and communication systems supporting real-time Java applications;Includes coverage of multiprocessor embedded systems and parallel programming;Discusses state-of-the-art resource management for embedded systems, including Java’s real-time garbage collection and parallel collectors;Considers hardware support for the execution of Java programs including how programs can interact with functional accelerators;Includes coverage of Safety Critical Java for development of safety critical embedded systems. From the Back Cover Research on real-time Java technology has been prolific over the past decade, leading to a large number of corresponding hardware and software solutions, and frameworks for distributed and embedded real-time Java systems. This book is aimed primarily at researchers in real-time embedded systems, particularly those who wish to understand the current state of the art in using Java in this domain. Much of the work in real-time distributed, embedded and real-time Java has focused on the Real-time Specification for Java (RTSJ) as the underlying base technology, and consequently many of the Chapters in this book address issues with, or solve problems using, this framework. Describes innovative techniques in: scheduling, memory management, quality of service and communication systems supporting real-time Java applications;Includes coverage of multiprocessor embedded systems and parallel programming;Discusses state-of-the-art resource management for embedded systems, including Java’s real-time garbage collection and parallel collectors;Considers hardware support for the execution of Java programs including how programs can interact with functional accelerators;Includes coverage of Safety Critical Java for development of safety critical embedded systems.

ou can catch up on the latest developments in the number one, fastest-growing programming language in the world with this fully updated Schaum's guide. Schaum's Outline of Data Structures with Java has been revised to reflect all recent advances and changes in the language. About the Author John R. Hubbard, Ph.D.is a professor of mathematics and computer science at the University of Richmond, in Virginia, and has written several of the most successful Schaum's Outlines in computer science.