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Analysis of Diagnosability
Author(s) -
De Bragança Pereira Carlos Alberto,
Pericchi Luis Raul
Publication year - 1990
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2347759
Subject(s) - computer science
SUMMARY The diagnostic probabilities of having a disease based on possible responses (indicants) to a clinical question (tests, signs or symptoms) are generally given without reference to their precision. Here, a Bayesian approach is used to provide a full analysis of the diagnostic probabilities, the weights of evidence provided by each indicant and the average weight of evidence (diagnosability) provided by the question. The method is extended to a sequence of questions in which a particular response may influence whether a subsequent question is asked. The role of imprecise diagnostic probabilities in decision making is discussed.