"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.
| Descriptor ID |
D001499
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| MeSH Number(s) |
E05.318.740.600.200 N05.715.360.750.625.150 N06.850.520.830.600.200
|
| Concept/Terms |
|
Below are MeSH descriptors whose meaning is more general than "Bayes Theorem".
Below are MeSH descriptors whose meaning is more specific than "Bayes Theorem".
This graph shows the total number of publications written about "Bayes Theorem" by people in this website by year, and whether "Bayes Theorem" was a major or minor topic of these publications.
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2003 | 0 | 1 | 1 |
| 2004 | 0 | 1 | 1 |
| 2006 | 0 | 1 | 1 |
| 2007 | 1 | 0 | 1 |
| 2008 | 0 | 2 | 2 |
| 2009 | 1 | 1 | 2 |
| 2010 | 0 | 4 | 4 |
| 2011 | 1 | 3 | 4 |
| 2012 | 1 | 1 | 2 |
| 2013 | 2 | 1 | 3 |
| 2014 | 0 | 2 | 2 |
| 2015 | 0 | 2 | 2 |
| 2016 | 0 | 4 | 4 |
| 2017 | 1 | 5 | 6 |
| 2018 | 1 | 3 | 4 |
| 2019 | 0 | 7 | 7 |
| 2020 | 0 | 1 | 1 |
| 2021 | 0 | 2 | 2 |
| 2022 | 0 | 3 | 3 |
| 2023 | 0 | 2 | 2 |
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.