Principles of Biomedical Informatics

This second edition of a pioneering technical work in biomedical informatics provides a very readable treatment of the deep computational ideas at the foundation of the field. Principles of Biomedical Informatics, 2nd Edition is radically reorganized to make it especially useable as a textbook for courses that move beyond the standard introductory material. It includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as:. tree structured data, interval trees, and time-oriented medical data and their use. On Line Application Processing (OLAP), an old database idea that is only recently coming of age and finding surprising importance in biomedical informatics. a discussion of nursing knowledge and an example of encoding nursing advice in a rule-based system. X-ray physics and algorithms for cross-sectional medical image reconstruction, recognizing that this area was one of the most central to the origin of biomedical computing. an introduction to Markov processes, and. an outline of the elements of a hospital IT security program, focusing on fundamental ideas rather than specifics of system vulnerabilities or specific technologies.

It is simultaneously a unified description of the core research concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision-making, and information and technology use in biomedical contexts, and a pre-eminent teaching reference for the growing number of healthcare and computing professionals embracing computation in health-related fields.

As in the first edition, it includes many worked example programs in Common LISP, the most powerful and accessible modern language for advanced biomedical concept representation and manipulation.

The text also includes humor, history, and anecdotal material to balance the mathematically and computationally intensive development in many of the topic areas. The emphasis, as in the first edition, is on ideas and methods that are likely to be of lasting value, not just the popular topics of the day. Ira Kalet is Professor Emeritus of Radiation Oncology, and of Biomedical Informatics and Medical Education, at the University of Washington. Until retiring in 2011 he was also an Adjunct Professor in Computer Science and Engineering, and Biological Structure. From 2005 to 2010 he served as IT Security Director for the University of Washington School of Medicine and its major teaching hospitals. He has been a member of the American Medical Informatics Association since 1990, and an elected Fellow of the American College of Medical Informatics since 2011. His research interests include simulation systems for design of radiation treatment for cancer, software development methodology, and artificial intelligence applications to medicine, particularly expert systems, ontologies and modeling.

Autorentext
Ira J. Kalet works in the Department of Radiation Oncology at University of Washington Medical Center, Seattle, USA.

Klappentext

This book provides a foundation for understanding the fundamentals of biomedical informatics, which deals with the storage, retrieval, and use of biomedical data for biological problem solving and medical decision-making. It covers the application of these principles to the three main biomedical domains of basic biology, clinical medicine, and public health. The author offers a coherent summary, focusing on the three core concept areas of biomedical data and knowledge representation: biomedical information access, biomedical decision making, and information and technology use in biomedical contexts.

Zusammenfassung
Provides a treatment of the deep computational ideas at the foundation of the field. This book includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: tree structured data, interval trees, and time-oriented medical data and their use.

Inhalt
Preface to the Second EditionForeword from the First EditionPreface from the First EditionList of FiguresList of TablesChapter 1: Biomedical DataChapter 2: Symbolic Biomedical KnowledgeChapter 3: Probabilistic Biomedical KnowledgeChapter 4: Biomedical Information AccessChapter 5: Computational Models and MethodsChapter 6: Biomedical Data, Knowledge, and Systems in ContextChapter 7: EpilogueAppendix A: Notes on Lisp, Other Languages, and ResourcesBibliographyIndex