"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.
To see the data from this visualization as text,
click here.
Year | Major Topic | Minor Topic | Total |
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2015 | 1 | 4 | 5 |
2016 | 2 | 1 | 3 |
2017 | 3 | 8 | 11 |
2018 | 4 | 10 | 14 |
2019 | 11 | 6 | 17 |
2020 | 16 | 22 | 38 |
2021 | 15 | 29 | 44 |
2022 | 7 | 35 | 42 |
2023 | 4 | 20 | 24 |
2024 | 0 | 3 | 3 |
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Below are the most recent publications written about "Machine Learning" by people in Profiles.
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Leveraging explainable artificial intelligence to optimize clinical decision support. J Am Med Inform Assoc. 2024 Apr 03; 31(4):968-974.
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Procrustes is a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data. Commun Biol. 2024 Mar 30; 7(1):392.
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A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes. Elife. 2024 Mar 26; 12.
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Application of machine learning in predicting survival outcomes involving real-world data: a scoping review. BMC Med Res Methodol. 2023 11 13; 23(1):268.
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Predicting multiple sclerosis severity with multimodal deep neural networks. BMC Med Inform Decis Mak. 2023 11 09; 23(1):255.
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Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review. J Biomed Inform. 2023 11; 147:104531.
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Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts. mSystems. 2023 Dec 21; 8(6):e0036423.
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A novel prediction model of the risk of pancreatic cancer among diabetes patients using multiple clinical data and machine learning. Cancer Med. 2023 10; 12(19):19987-19999.
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Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders. Biol Psychiatry Cogn Neurosci Neuroimaging. 2024 Mar; 9(3):326-336.
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Evolutionary Action-Machine Learning Model Identifies Candidate Genes Associated With Early-Onset Coronary Artery Disease. J Am Heart Assoc. 2023 09 05; 12(17):e029103.