I M A Biomedical Informatics Expert Now

What is a biomedical informatics expert? What does he or she do?Meet Kevin, a kid like you and me, who grew up to become a biomedical informatics expert! Kevin grew up loving science and caring for animals, and this passion, combined with his engineering aptitude, turned him into a pediatrician specializing in biomedical informatics — using computers and data science to improve health care.The Who Me? series features inspirational biographies of scientists who young readers will be able to identify with as people like themselves. Written by the scientists themselves and co-authors from Vanderbilt University, the books are designed to help young readers understand that scientists are regular people like themselves who are excited about learning and discovering new things and who decided to work hard in school in order to create for themselves the opportunity to become scientists. As they learn the stories of these scientists, readers will also learn some basic science ideas, that are well-explained and easily understood, and be introduced to the cutting-edge science these scientists are working on today.

In past decades, the area of bioinformatics has proved to be both dynamic and vital, producing a wide spectrum of novel approaches and assuming an increasingly important role in modern bio-technological development. In Biomedical Informatics, expert researchers explore cutting-edge new advances in the field, providing an overview of novel cyberinfrastructures which are currently under development in various bio-medical centers across the world. Chapters demonstrate various architectures for large-scale collaboration, offer modern approaches currently used in various areas of bioinformatics, and highlight the software challenges associated with large-scale biomedical informatics. Composed in the highly successful Methods in Molecular BiologyTM series format, chapters include a brief introduction, detailed methods, and a Notes section which shares tips on troubleshooting and avoiding known pitfalls. Wide-ranging and innovative, Biomedical Informatics is an essential manual for newcomers to this area, as well as an invaluable addition to the laboratories and offices of the most practiced researchers.

This essential text provides a readable yet sophisticated overview of the basic concepts of information technologies as they apply in healthcare. Spanning areas as diverse as the electronic medical record, searching, protocols, and communications as well as the Internet, Enrico Coiera has succeeded in making this vast and complex area accessible an

The "information explosion" in recent decades has made it impossible for practicing physicians (even specialists) to keep up with all the information potentially at their disposal. As a result, it is not surprising that empirical studies have shown that physicians do not always make optimal decisions. Thus, medical expert systems are now available to support - not replace - physicians and healthcare providers in their goal of providing the best possible healthcare to every patient. Knowledge Engineering in Health Informatics is a guide to the creation of such systems. Presenting the core material for courses such as Medical Knowledge Engineering and Expert System Development, it allows non-experts to make diagnostic decisions with the precision and accuracy of medical experts thanks to the help of the computer.

This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis. Features Integrates computer science and clinical perspectives Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision trees, SVM, and data mining, all of which are techniques used widely used in health-data analysis Describes computational techniques such as multidimensional and multimedia data representation and retrieval, ontology, patient-data deidentification, temporal data analysis, heterogeneous databases, medical image analysis and transmission, biosignal analysis, pervasive healthcare, automated text-analysis, health-vocabulary knowledgebases and medical information-exchange Includes bioinformatics and pharmacokinetics techniques and their applications to vaccine and drug development

This book focuses on the role of computers in the provision of medical services. It provides both a conceptual framework and a practical approach for the implementation and management of IT used to improve the delivery of health care. Inspired by a Stanford University training program, it fills the need for a high quality text in computers and medicine. It meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Completely revised and expanded, this work includes several new chapters filled with brand new material.

This brilliant guide to medical informatics is an easy to read overview of the basic concepts of information and communication technologies in healthcare. Not only does the book cover the complexities and implications of the increasing use of information technology in healthcare, but it also explores the basic principles of informatics that govern