"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 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.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1996 | 0 | 2 | 2 |
| 1997 | 0 | 1 | 1 |
| 1998 | 0 | 2 | 2 |
| 1999 | 2 | 0 | 2 |
| 2000 | 1 | 0 | 1 |
| 2001 | 1 | 3 | 4 |
| 2002 | 0 | 1 | 1 |
| 2003 | 1 | 3 | 4 |
| 2004 | 1 | 7 | 8 |
| 2005 | 0 | 9 | 9 |
| 2006 | 1 | 10 | 11 |
| 2007 | 3 | 8 | 11 |
| 2008 | 2 | 13 | 15 |
| 2009 | 1 | 11 | 12 |
| 2010 | 2 | 11 | 13 |
| 2011 | 1 | 12 | 13 |
| 2012 | 1 | 13 | 14 |
| 2013 | 1 | 12 | 13 |
| 2014 | 1 | 13 | 14 |
| 2015 | 0 | 10 | 10 |
| 2016 | 3 | 13 | 16 |
| 2017 | 3 | 9 | 12 |
| 2018 | 3 | 11 | 14 |
| 2019 | 1 | 10 | 11 |
| 2020 | 0 | 13 | 13 |
| 2021 | 1 | 14 | 15 |
| 2022 | 1 | 15 | 16 |
| 2023 | 0 | 15 | 15 |
| 2024 | 3 | 3 | 6 |
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click here.
Below are the most recent publications written about "Bayes Theorem" by people in Profiles.
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A Hierarchical Bayesian Model for Estimating Age-Specific COVID-19 Infection Fatality Rates in Developing Countries. Stat Med. 2024 Dec 30; 43(30):5667-5680.
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Gene regulatory network inference from CRISPR perturbations in primary CD4+ T cells elucidates the genomic basis of immune disease. Cell Genom. 2024 Nov 13; 4(11):100671.
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Bayesian estimation of gene constraint from an evolutionary model with gene features. Nat Genet. 2024 Aug; 56(8):1632-1643.
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Emulator-Based Bayesian Calibration of the CISNET Colorectal Cancer Models. Med Decis Making. 2024 07; 44(5):543-553.
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Effect of Early vs Late Inguinal Hernia Repair on Serious Adverse Event Rates in Preterm Infants: A Randomized Clinical Trial. JAMA. 2024 03 26; 331(12):1035-1044.
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Neoadjuvant Trebananib plus Paclitaxel-based Chemotherapy for Stage II/III Breast Cancer in the Adaptively Randomized I-SPY2 Trial-Efficacy and Biomarker Discovery. Clin Cancer Res. 2024 02 16; 30(4):729-740.
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A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest. BMC Med Imaging. 2023 12 08; 23(1):205.
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Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons. Nat Commun. 2023 11 04; 14(1):7074.
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A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening. Nat Methods. 2023 Nov; 20(11):1693-1703.
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Machine learning identification of patient clusters for cutaneous melanoma. Ital J Dermatol Venerol. 2023 Oct; 158(5):388-394.