"Machine Learning" 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 type of ARTIFICIAL INTELLIGENCE that enable COMPUTERS to independently initiate and execute LEARNING when exposed to new data.
Descriptor ID |
D000069550
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MeSH Number(s) |
G17.035.250.500 L01.224.050.375.530
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Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Machine Learning".
Below are MeSH descriptors whose meaning is more specific than "Machine Learning".
This graph shows the total number of publications written about "Machine Learning" by people in this website by year, and whether "Machine Learning" was a major or minor topic of these publications.
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Year | Major Topic | Minor Topic | Total |
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2015 | 1 | 0 | 1 |
2020 | 0 | 1 | 1 |
2023 | 0 | 1 | 1 |
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Below are the most recent publications written about "Machine Learning" by people in Profiles.
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DRRisk: A Web-based tool to Assess the Risk of Diabetic Retinopathy through Machine Learning on Electronic Health Records. AMIA Annu Symp Proc. 2022; 2022:452-460.
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How Clinically Relevant Is C-Reactive Protein for Blacks with Metabolic Syndrome to Predict Microalbuminuria? Metab Syndr Relat Disord. 2021 02; 19(1):39-47.
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Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records. AMIA Annu Symp Proc. 2015; 2015:983-90.