 Machine Learning
"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 |
|---|
| 2014 | 1 | 0 | 1 | | 2015 | 5 | 5 | 10 | | 2016 | 1 | 4 | 5 | | 2017 | 10 | 6 | 16 | | 2018 | 18 | 10 | 28 | | 2019 | 21 | 14 | 35 | | 2020 | 19 | 15 | 34 | | 2021 | 15 | 27 | 42 | | 2022 | 14 | 28 | 42 | | 2023 | 7 | 20 | 27 | | 2024 | 31 | 14 | 45 | | 2025 | 28 | 17 | 45 |
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Below are the most recent publications written about "Machine Learning" by people in Profiles.
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Giles BM, Culp-Hill R, Law RA, Nichols CM, Goldberg M, Radnaa E, Wong M, Hansen C, Zapata M, Hill C, Behbakht K, Bitler BG, Crosbie EJ, Barr CE, Jeter A, Fa VS, Guthrie VB, Hagmann LN, Kubota EC, White JR, McElhinny A. Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population. Cancer Res Commun. 2025 Sep 01; 5(9):1516-1529.
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Reynoso S, Schiebout C, Krishna R, Zhang F. STEAM: Spatial Transcriptomics Evaluation Algorithm and Metric for clustering performance. Brief Bioinform. 2025 Aug 31; 26(5).
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White LK, Radakovic A, Sajek MP, Dobson K, Riemondy KA, Del Pozo S, Szostak JW, Hesselberth JR. Nanopore sequencing of intact aminoacylated tRNAs. Nat Commun. 2025 Aug 20; 16(1):7781.
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Williams CM, Scelza BA, Slack SD, Font-Porterias N, Al-Hindi DR, Mathias RA, Watson H, Barnes KC, Lange E, Johnson RK, Gignoux CR, Ramachandran S, Henn BM. A rapid accurate approach to inferring pedigrees in endogamous populations. Genetics. 2025 Aug 06; 230(4).
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Mungas D, Gavett B, Rojas-Saunero LP, Zhou Y, Hayes-Larson E, Shaw C, Farias ST, Widaman K, Fletcher E, Corrada MM, Gilsanz P, Glymour M, Olichney J, DeCarli C, Whitmer R, Mayeda ER. Machine learning diagnosis of cognitive impairment and dementia in harmonized older adult cohorts. Alzheimers Dement. 2025 Aug; 21(8):e70508.
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Holderness E, Atwood B, Verhagen M, Shinn AK, Cawkwell P, Cerruti H, Pustejovsky J, Hall MH. Machine learning in psychiatric health records: A gold standard approach to trauma annotation. Transl Psychiatry. 2025 Aug 01; 15(1):260.
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Li Y, Miller T, Bethard S, Savova G. Identifying task groupings for multi-task learning using pointwise V-usable information. J Biomed Inform. 2025 Sep; 169:104881.
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Kirsch DE, McManus KR, Grodin EN, Nieto SJ, Miranda R, O'Malley SS, Schacht JP, Ray LA. Who is alcohol cue-reactive? A machine learning approach. Alcohol Alcohol. 2025 Jul 16; 60(5).
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Scott HF, Sevick CJ, Colborn KL, Deakyne Davies SJ, Greer CH, Dafoe A, Dorsey Holliman B, Bajaj L, Schmidt SK, Kempe A. Clinical Decision Support for Septic Shock in the Emergency Department: A Cluster Randomized Trial. Pediatrics. 2025 Jul 01; 156(1).
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Abraham J, Domenyuk V, Perdigones N, Klimov S, Antani S, Yoshino T, Heath EI, Lou E, Liu SV, Marshall JL, El-Deiry WS, Shields AF, Dietrich MF, Nakamura Y, Fujisawa T, Demetri GD, Barker A, Xiu J, Sacchetti DA, Stahl S, Hahn-Lowry R, Stark A, Swensen J, Poste G, Halbert DD, Oberley M, Radovich M, Sledge GW, Spetzler DB. Validation of an AI-enabled exome/transcriptome liquid biopsy platform for early detection, MRD, disease monitoring, and therapy selection for solid tumors. Sci Rep. 2025 Jul 01; 15(1):21173.
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