"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 |
|---|
| 1993 | 0 | 1 | 1 |
| 2004 | 0 | 2 | 2 |
| 2005 | 0 | 1 | 1 |
| 2007 | 1 | 0 | 1 |
| 2008 | 0 | 1 | 1 |
| 2009 | 0 | 4 | 4 |
| 2011 | 0 | 3 | 3 |
| 2012 | 0 | 3 | 3 |
| 2013 | 0 | 1 | 1 |
| 2014 | 0 | 3 | 3 |
| 2015 | 0 | 3 | 3 |
| 2016 | 0 | 6 | 6 |
| 2017 | 1 | 3 | 4 |
| 2018 | 0 | 4 | 4 |
| 2019 | 0 | 6 | 6 |
| 2020 | 0 | 2 | 2 |
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.
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Bennett R, Mulla ZD, Parikh P, Hauspurg A, Razzaghi T. An imbalance-aware deep neural network for early prediction of preeclampsia. PLoS One. 2022; 17(4):e0266042.
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Santa Maria D, Padhye N, Businelle M, Yang Y, Jones J, Sims A, Lightfoot M. Efficacy of a Just-in-Time Adaptive Intervention to Promote HIV Risk Reduction Behaviors Among Young Adults Experiencing Homelessness: Pilot Randomized Controlled Trial. J Med Internet Res. 2021 07 06; 23(7):e26704.
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Weech-Maldonado R, Lord J, Davlyatov G, Ghiasi A, Orewa G. High-Minority Nursing Homes Disproportionately Affected by COVID-19 Deaths. Front Public Health. 2021; 9:606364.
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Sharma A, Riaz KM, Gill MS, Patnaik A, Ulahannan SV, Wang JS, Gombos DS, Ang Q, Cicic D, Bergonio GR, Zhang C, Wirostko BM. Reversible HER2 antibody-drug conjugate-induced ocular toxicity. Can J Ophthalmol. 2022 04; 57(2):118-126.
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Smith R, Kuplicki R, Feinstein J, Forthman KL, Stewart JL, Paulus MP, Khalsa SS. A Bayesian computational model reveals a failure to adapt interoceptive precision estimates across depression, anxiety, eating, and substance use disorders. PLoS Comput Biol. 2020 12; 16(12):e1008484.
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Gibson BS, Pauszek JR, Trost JM, Wenger MJ. The misrepresentation of spatial uncertainty in visual search: Single- versus joint-distribution probability cues. Atten Percept Psychophys. 2021 Feb; 83(2):603-623.
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Smith R, Schwartenbeck P, Stewart JL, Kuplicki R, Ekhtiari H, Paulus MP. Imprecise action selection in substance use disorder: Evidence for active learning impairments when solving the explore-exploit dilemma. Drug Alcohol Depend. 2020 10 01; 215:108208.
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McGrew KM, Carabin H, Garwe T, Jafarzadeh SR, Williams MB, Zhao YD, Drevets DA. Validity of ICD-based algorithms to estimate the prevalence of injection drug use among infective endocarditis hospitalizations in the absence of a reference standard. Drug Alcohol Depend. 2020 04 01; 209:107906.
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Bittl JA, He Y, Baber U, Feldman RL, von Mering GO, Kaul S. Bayes Factor Meta-Analysis of the Mortality Claim for Peripheral Paclitaxel-Eluting Devices. JACC Cardiovasc Interv. 2019 12 23; 12(24):2528-2537.
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King B, Eastman AL, Grinnell-Davis C, Aparicio E. Early Childbirth Among Foster Youth: A Latent Class Analysis to Determine Subgroups at Increased Risk. Perspect Sex Reprod Health. 2019 12; 51(4):229-238.