Principles of Biomedical Informatics, 2 ed (Kalet, PhD, Ira J. (Department of Radiation Oncology, <br&gt; University of Washington Medical Center, Seattle, USA)) ; Academic Press, 2013

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

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