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Some points on the use of ‘independent Bayes’ to diagnose acute abdominal pain
Author(s) -
Crichton Nicola J.,
Fryer John G.,
Spicer Clive C.
Publication year - 1987
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780060809
Subject(s) - bayes' theorem , acute abdominal pain , independence (probability theory) , computer science , conditional independence , artificial intelligence , abdominal pain , machine learning , medicine , econometrics , intensive care medicine , statistics , bayesian probability , mathematics , surgery
This paper outlines some of the difficulties encountered when using independent Bayes as a statistical decision aid for acute abdominal pain. Methods of reducing the resultant problems are suggested. Restriction of the number of facets in the system reduces violation of the simplifying assumption of symptom independence without adversely affecting efficiency. Introduction of a realistic utility structure is investigated as is the potential transportability of the decision aid. Generalizations of the results are discussed and potential uses of medical decision aids are considered.