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Mathematical Foundations of Decision Support Systems

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Clinical Decision Support Systems

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

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Abstract

Health information technology can support decisions in a variety of ways, ranging from the passive display of information to intensive computation designed to model complex clinical reasoning. This chapter reviews the basics of the mathematics behind the methods that involve computation, including set theory, probability, Boolean logic, Bayesian reasoning, and nonknowledge-based systems.

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Authors and Affiliations

  1. Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, MLC 9009, Cincinnati, OH, 45229, USA

    S. Andrew Spooner M.D., M.S.

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  1. S. Andrew Spooner M.D., M.S.
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Correspondence to S. Andrew Spooner M.D., M.S. .

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Editors and Affiliations

  1. School of Health Professions, Department of Health Services Administration and Department of Medical Education, School of Medicine, University of Alabama at Birmingham , Birmingham, Alabama, USA

    Eta S. Berner

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Spooner, S.A. (2016). Mathematical Foundations of Decision Support Systems. In: Berner, E. (eds) Clinical Decision Support Systems. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-319-31913-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-31913-1_2

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