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Bayes Theorem

"Bayes Theorem" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure, which enables searching at various levels of specificity.

A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihoods of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.


This graph shows the total number of publications written about "Bayes Theorem" by people in Harvard Catalyst Profiles by year, and whether "Bayes Theorem" was a major or minor topic of these publication.
Bar chart showing 825 publications over 31 distinct years, with a maximum of 77 publications in 2017
To see the data from this visualization as text, click here.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.