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- W1970341844 abstract "The Bayes' procedure achieves maximum diagnostic accuracy for a health care population when both the prior probability of a disease and the conditional distribution of the symptoms given the disease are correctly estimated for that population. Since physiological changes are, in a sense, caused by the disease, it is commonly supposed that the conditional distributions of such “medical” symptoms do not vary from population to population. However, if the symptom reflects the progress of a multistage disease, we show that the conditional distribution does indeed change. Statistical tests are provided to identify medical symptoms that have stable distributions over the course of a disease. Also, medical symptoms or clusters of such symptoms are found to be conditionally independent if and only if they are uncorrelated, regardless of their probability distributions." @default.
- W1970341844 created "2016-06-24" @default.
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- W1970341844 date "1978-02-01" @default.
- W1970341844 modified "2023-09-27" @default.
- W1970341844 title "An analysis of the Bayes' procedure for diagnosing multistage diseases" @default.
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- W1970341844 doi "https://doi.org/10.1016/0010-4809(78)90047-2" @default.
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