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Probabilistic Rule Induction from a Medical Research Study Database

✍ Scribed by Ellis J. Clarke; Myron A. Waclawiw


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
163 KB
Volume
29
Category
Article
ISSN
0010-4809

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✦ Synopsis


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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## Abstract ## Background Few population‐based studies have examined the whole range of subthreshold syndromes and disorders of anxiety and depression in older people. ## Aims To investigate the co‐occurrence of anxiety and depressive syndromes in older people. Associations between these conditi