"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.
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Year | Major Topic | Minor Topic | Total |
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2000 | 0 | 1 | 1 |
2001 | 0 | 1 | 1 |
2002 | 1 | 0 | 1 |
2005 | 0 | 1 | 1 |
2007 | 1 | 0 | 1 |
2008 | 0 | 1 | 1 |
2013 | 0 | 1 | 1 |
2021 | 0 | 1 | 1 |
2023 | 0 | 1 | 1 |
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Below are the most recent publications written about "Bayes Theorem" by people in Profiles.
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Association of Blood Pressure With Rates of Macular Ganglion Cell Complex Thinning in Patients With Glaucoma. JAMA Ophthalmol. 2023 03 01; 141(3):251-257.
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Proteomic Profiling of the Substantia Nigra to Identify Determinants of Lewy Body Pathology and Dopaminergic Neuronal Loss. J Proteome Res. 2021 05 07; 20(5):2266-2282.
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Estimating Ganglion Cell Complex Rates of Change With Bayesian Hierarchical Models. Transl Vis Sci Technol. 2021 04 01; 10(4):15.
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Evaluating predictive modeling's potential to improve teleretinal screening participation in urban safety net clinics. Stud Health Technol Inform. 2013; 192:162-5.
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A comparison of methods for assessing penetrating trauma on retrospective multi-center data. J Biomed Inform. 2009 Apr; 42(2):308-16.
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Assessing a Bayesian risk prediction model in a high-risk breast cancer population. AMIA Annu Symp Proc. 2007 Oct 11; 913.
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Evaluating the discriminatory power of a computer-based system for assessing penetrating trauma on retrospective multi-center data. AMIA Annu Symp Proc. 2005; 500-4.
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Combining geometric and probabilistic reasoning for computer-based penetrating-trauma assessment. J Am Med Inform Assoc. 2002 May-Jun; 9(3):273-82.
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Finding appropriate clinical trials: evaluating encoded eligibility criteria with incomplete data. Proc AMIA Symp. 2001; 27-31.
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TraumaSCAN: assessing penetrating trauma with geometric and probabilistic reasoning. Proc AMIA Symp. 2000; 620-4.