"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 likelihood 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 
Bayesian Analysis Bayesian Analysis
 Bayesian Approach
 Approach, Bayesian
 Approachs, Bayesian
 Bayesian Approachs
 Analysis, Bayesian

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 

1994  0  1  1 
2000  0  2  2 
2001  0  1  1 
2003  1  0  1 
2004  1  2  3 
2005  2  4  6 
2006  1  3  4 
2007  0  1  1 
2008  2  5  7 
2009  4  4  8 
2010  4  10  14 
2011  1  7  8 
2012  8  9  17 
2013  2  9  11 
2014  4  8  12 
2015  6  12  18 
2016  7  7  14 
2017  7  8  15 
2018  1  10  11 
2019  2  11  13 
2020  0  20  20 
2021  1  17  18 
2022  0  19  19 
2023  0  6  6 
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.

Birth Outcomes in Relation to Prenatal Exposure to Per and Polyfluoroalkyl Substances and Stress in the Environmental Influences on Child Health Outcomes (ECHO) Program. Environ Health Perspect. 2023 03; 131(3):37006.

Spatiotemporal reproduction number with Bayesian model selection for evaluation of emerging infectious disease transmissibility: an application to COVID19 national surveillance data. BMC Med Res Methodol. 2023 03 14; 23(1):62.

Perfluoroalkyl Acids in Follicular Fluid and Embryo Quality during IVF: A Prospective IVF Cohort in China. Environ Health Perspect. 2023 02; 131(2):27002.

Cardiac Resynchronization Therapy Improves Outcomes in Patients With Intraventricular Conduction Delay But Not Right Bundle Branch Block: A PatientLevel MetaAnalysis of Randomized Controlled Trials. Circulation. 2023 Mar 07; 147(10):812823.

Bayesian SpatioTemporal Prediction and Counterfactual Generation: An Application in NonPharmaceutical Interventions in COVID19. Viruses. 2023 Jan 24; 15(2).

An AI Approach for Identifying Patients With Cirrhosis. J Clin Gastroenterol. 2023 Jan 01; 57(1):8288.

Seizure forecasting using machine learning models trained by seizure diaries. Physiol Meas. 2022 12 14; 43(12).

Effect of dietary patterns on cardiovascular risk factors in people with type 2 diabetes. A systematic review and network metaanalysis. Diabetes Res Clin Pract. 2023 Jan; 195:110207.

Bayesian additive regression trees for multivariate skewed responses. Stat Med. 2023 02 10; 42(3):246263.

Interpreting a Bayesian phase II futility clinical trial. Trials. 2022 Nov 22; 23(1):953.