"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
|
| MeSH Number(s) |
G17.035.250.500 L01.224.050.375.530
|
| Concept/Terms |
|
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 |
|---|
| 2015 | 2 | 1 | 3 |
| 2016 | 0 | 1 | 1 |
| 2017 | 3 | 2 | 5 |
| 2018 | 2 | 2 | 4 |
| 2019 | 5 | 5 | 10 |
| 2020 | 5 | 6 | 11 |
| 2021 | 3 | 8 | 11 |
| 2022 | 1 | 8 | 9 |
| 2023 | 0 | 2 | 2 |
| 2024 | 3 | 1 | 4 |
| 2025 | 5 | 2 | 7 |
| 2026 | 1 | 0 | 1 |
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Below are the most recent publications written about "Machine Learning" by people in Profiles.
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NetMHCIIphosPan: A Machine Learning Tool for Predicting HLA Class II Antigen Presentation of Phosphorylated Peptides. J Proteome Res. 2026 May 01; 25(5):2529-2545.
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Haploidentical versus matched unrelated donor transplantation with post-transplant cyclophosphamide: a platform-dependent machine learning analysis of donor age. Leukemia. 2026 May; 40(5):1009-1017.
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The use of advanced machine learning to predict outcomes after atezolizumab plus bevacizumab for advanced hepatocellular carcinoma: a retrospective cohort study. Lancet Digit Health. 2026 Feb; 8(2):100952.
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Lifestyle data-based multiclass obesity prediction with interpretable ensemble models incorporating SHAP and LIME analysis. Sci Rep. 2025 Oct 22; 15(1):36916.
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Attenuated learning rates for negative outcomes in substance use disorders: A replication and extension of prior longitudinal computational modeling results. Drug Alcohol Depend. 2026 Jan 01; 278:112922.
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Leveraging Machine Learning Models to Explore Disparities in Prostate Cancer Diagnosis, Treatment, and Survival. Cancer Control. 2025 Jan-Dec; 32:10732748251384702.
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Noninvasive Pulmonary Capillary Wedge Pressure Estimation in Heart Failure Patients With the Use of Wearable Sensing and AI. JACC Heart Fail. 2025 Aug; 13(8):102513.
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Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence. JCO Precis Oncol. 2025 May; 9:e2400859.
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Ensemble learning with explainable AI for improved heart disease prediction based on multiple datasets. Sci Rep. 2025 Apr 22; 15(1):13912.
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Disease diagnostics using machine learning of B cell and T cell receptor sequences. Science. 2025 Feb 21; 387(6736):eadp2407.