"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  10  10 
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.

Exposure to ambient air toxicants and the risk of amyotrophic lateral sclerosis (ALS): A matched case control study. Environ Res. 2024 Feb 01; 242:117719.

A Bayesian zeroinflated betabinomial model for longitudinal data with groupspecific changepoints. Stat Med. 2024 01 15; 43(1):125140.

A Bayesian framework for pathwayguided identification of cancer subgroups by integrating multiple types of genomic data. Stat Med. 2023 12 10; 42(28):52665284.

Evaluation of Bayesian spatiotemporal infectious disease models for prospective surveillance analysis. BMC Med Res Methodol. 2023 07 22; 23(1):171.

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.