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Updating a Diagnostic System Using Unconfirmed Cases
Author(s) -
Titterington D. M.
Publication year - 1976
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 - 10.2307/2347231
Subject(s) - computer science , statistics , mathematics
Summary A Bayesian approach is made to the problem of using individuals of unconfirmed categories to provide information supplementary to a basic data bank of categorized observations. The exact analysis is briefly presented, followed by suggestions for more practicable approximate procedures, which are applied to examples involving medical and simulated data. The general conclusion is that the discriminatory performance of the data bank can be usefully improved by making use of uncategorized observations.