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PubMed · 8812074

Probabilistic rule induction from a medical research study database.

E J Clarke·M A Waclawiw
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Abstract

This paper describes and applies the ITRULE algorithm, a generalized rule induction algorithm of Smyth and Goodman, for the exploratory analysis of a subset of data from the National Heart, Lung, and Blood Institute Growth and Health Study. The ITRULE algorithm is used as an effective, parsimonious method for detecting informative relationships in a large set of study variables. The potential complexity of the search among many variables is controlled by applying an information theoretic rule preference measure, the J-measure, to limit rule specialization.

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Age FactorsAlgorithmsBlack PeopleBlood PressureCardiovascular DiseasesChildChild DevelopmentCholesterolCohort StudiesFemaleHumansIncomeInformation SystemsNational Institutes of Health (U.S.)Neural Networks, ComputerObesityProbabilityRisk FactorsUnited StatesWhite PeopleBlack or African AmericanJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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BibTeXRIS

E J Clarke, M A Waclawiw. 1996. Probabilistic rule induction from a medical research study database.. https://doi.org/10.1006/cbmr.1996.0020

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