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Diagnostic Decision Support

  • Chapter
Pediatric Informatics

Part of the book series: Health Informatics ((HI))

Abstract

In 1763, the Reverend Thomas Bayes published “a method by which we might judge concerning the probability that an event has to happen, in given circumstances, upon supposition that we know nothing concerning it but that, under the same circumstances, it has happened a certain number of times, and failed a certain other number of times.”1 This is Bayes' Law, which in 1959, was applied to medical diagnosis2 to form the basis of diagnostic decision support.3, 4 Because almost all computer-based medical diagnostic decision support systems (MDDSS) use some application of Bayes' Law, it is instructive to review basic principles.

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Author information

Authors and Affiliations

  1. Department of Medicine and in Pediatrics, Massachusetts General Hospital, Boston, MA

    Mitchell J. Feldman MD FAAP

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  1. Mitchell J. Feldman MD FAAP
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Editors and Affiliations

  1. The Johns Hopkins School of Medicine, Baltimore, MD, USA

    Christoph U. Lehmann MD FAAP  & George R. Kim MD FAAP  & 

  2. Vanderbilt University School of Medicine, Nashville, TN, USA

    Kevin B. Johnson MD MS FAAP

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Feldman, M.J. (2009). Diagnostic Decision Support. In: Lehmann, C.U., Kim, G.R., Johnson, K.B. (eds) Pediatric Informatics. Health Informatics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-76446-7_12

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  • DOI: https://doi.org/10.1007/978-0-387-76446-7_12

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-76445-0

  • Online ISBN: 978-0-387-76446-7

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