Uncertainty and Decisions in Medical Informatics
Uncertainty and Decisions in Medical Informatics
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DOI：
10.1055/s-0038-1634594
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发表时间：
1995-03
影响因子：
1.7
通讯作者：
Peter Szolovits
中科院分区：
文献类型：
--
作者：
Peter Szolovits
Abstract: This paper presents a tutorial introduction to the handling of uncertainty and decision-making in medical reasoning systems. It focuses on the central role of uncertainty in all of medicine and identifies the major themes that arise in research papers. It then reviews simple Bayesian formulations of the problem and pursues the generalization to the Bayesian network methods that are popular today. Decision making is presented from the decision analysis viewpoint, with brief mention of recently-developed methods. The paper concludes with review of more abstract characterization of uncertainty, and anticipates the growing importance of analytic and “data mining” techniques as growing amounts of clinical data become widely available.
