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Correspondence analysis as a screening method for indicants for clinical diagnosis.

Authors
  • Crichton, N J
  • Hinde, J P
Type
Published Article
Journal
Statistics in medicine
Publication Date
Nov 01, 1989
Volume
8
Issue
11
Pages
1351–1362
Identifiers
PMID: 2609046
Source
Medline
License
Unknown

Abstract

In clinical diagnosis, a patient's symptoms are observed and the probabilities of various diseases are assessed. A widely used method of formalizing this approach is independent Bayes in which symptoms are assumed to be independent conditional on the disease category. Correspondence analysis provides a method for examining the dependence between symptoms and assists in the selection of a reduced set of symptoms for the application of the independent Bayes method. This approach is illustrated on two data sets concerned with patients attending Accident and Emergency departments with chest pain and acute abdominal pain, respectively.

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