000			04048cam a2200373 i 4500
001			18150216
003			KENaKMTC
005			20230525142913.0
008			140513s2014 ne a b 001 0 eng c
010			_a 2014395167
016	7		_a101621723 _2DNLM
020			_a9780124160194
020			_a0124160190
035			_a(OCoLC)ocn871189085
040			_aNLM _beng _cNLM _erda _dDLC
042			_apcc
050	0	0	_aR858.K35 2014
060	0	0	_a2013 K-189
060	1	0	_aW 26.5
082	0	0	_a610.285 _223
100	1		_aKalet, Ira _eauthor.
245	1	0	_aPrinciples of biomedical informatics / _cIra J. Kalet
250			_a2nd edition.
260			_aAmsterdam : _bElsevier, _cc2014.
300			_axxxvii, 668 pages : _billustrations ; _c25 cm
504			_aIncludes bibliographical references and index.
520			_aThis 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.
650	1	2	_aMedical Informatics.
650	2	2	_aComputational Biology.
856	4	2	_3Publisher description _uhttp://www.loc.gov/catdir/enhancements/fy1606/2014395167-d.html
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942			_2lcc _cBK _xRJ
999			_c24074 _d24074