Titlebook: Selected Topics in Medical Artificial Intelligence; Perry L. Miller Book 1988 Springer-Verlag New York Inc. 1988 Extension.Master Patient

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1431-1909 agnostic process. Sophisticated monitoring equipment presents new levels of detail for both patient management and research. In most of these tech­ nology applications, the computer is embedded in the device; its presence is transparent to the user. There is also a growing number of applications in

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Artificial Intelligence in Medicine: An Emerging Disciplineta management systems, biomedical engineering applications, clinical decision support systems, and many more. This book addresses a particular type of medical computer research, the application of artificial intelligence (Al) techniques in medicine.

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Development and Use of a Causal Model for Reasoning About Heart Failureel is. The causal models that have appeared in the literature range from the qualitative simulation models of Kuipers and Kassirer. to the probabilistic organization schemes of Pearl.. Investigation of a particular problem of medical diagnosis or management usually leads to the realization that ther

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Computer-Based Medical Diagnosis Using Belief Networks and Bounded Probabilities medical knowledge accumulates and as patients become more medically complex due to new life-sustaining treatments. Researchers have therefore been attempting to develop computer-assisted medical diagnostic tools to aid physicians in this task.. This chapter describes a method for computer-based dia

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Modeling and Encoding Clinical Causal Relations in a Medical Knowledge Baseulate the best human diagnosticians and clinicians, it is necessary to endow those computers with much if not all the knowledge that expert clinicians use. One category of knowledge that is critical to clinical reasoning is that of causal relations (CRs). Some examples of medical CRs follow. (1) Anx

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