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 (17021761). 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

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 UAMS Profiles 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 

2021  0  1  1  2019  0  1  1  2017  0  1  1  2013  0  1  1  2012  0  1  1  2011  0  1  1  2007  0  1  1 
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles over the past ten years.

Khorsandi SE, Hardgrave HJ, Osborn T, Klutts G, Nigh J, SpencerCole RT, Kakos CD, Anastasiou I, Mavros MN, Giorgakis E. Artificial Intelligence in Liver Transplantation. Transplant Proc. 2021 Dec; 53(10):29392944.

Nozadi SS, Li L, Clifford J, Du R, Murphy K, Chen L, Seanez P, Burnette C, MacKenzie D, Lewis JL. Use of Ages and Stages Questionnaires? (ASQ) in a Navajo population: Comparison with the U.S. normative dataset. Child Care Health Dev. 2019 09; 45(5):709718.

Jun SR, Nookaew I, Hauser L, Gorin A. Assessment of genome annotation using gene function similarity within the gene neighborhood. BMC Bioinformatics. 2017 Jul 19; 18(1):345.

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