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 |
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2014 | 1 | 0 | 1 | 2015 | 6 | 5 | 11 | 2016 | 1 | 4 | 5 | 2017 | 10 | 9 | 19 | 2018 | 17 | 9 | 26 | 2019 | 20 | 15 | 35 | 2020 | 21 | 15 | 36 | 2021 | 12 | 25 | 37 | 2022 | 14 | 27 | 41 | 2023 | 7 | 18 | 25 | 2024 | 29 | 13 | 42 | 2025 | 17 | 8 | 25 |
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Below are the most recent publications written about "Machine Learning" by people in Profiles.
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Martin B, DeWitt PE, Payan M, Greer CH, Russell S, Gray C, Deakyne Davies SJ, Woods-Hill CZ, Scott HF, Parker S, Albers D, Bennett TD. Diagnostic Stewardship of Blood Cultures in the Pediatric ICU Using Machine Learning. Hosp Pediatr. 2025 Jun 01; 15(6):e240-e244.
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Zhang Y, Wei Y, Wang Y, Xiao Y, Poropatich CRRK, Haas GL, Zhang Y, Weng C, Liu J, Brenner LA, Bjork JM, Peng Y. Machine learning applications related to suicide in military and Veterans: A scoping literature review. J Biomed Inform. 2025 Jul; 167:104848.
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Wang Y, Hanford A, Boroumand M, Kalonia C, Leissa J, Shah M, Pham T, Randolph T, Prajapati I. Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysis. MAbs. 2025 Dec; 17(1):2501629.
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Hossain D, Thomas JG, McCrory MA, Higgins J, Sazonov E. A Systematic Review of Sensor-Based Methods for Measurement of Eating Behavior. Sensors (Basel). 2025 May 08; 25(10).
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Salyers AJ, Bull S, Silvasstar J, Howell K, Wright T, Banaei-Kashani F. Building and Beta-Testing Be Well Buddy Chatbot, a Secure, Credible and Trustworthy AI Chatbot That Will Not Misinform, Hallucinate or Stigmatize Substance Use Disorder: Development and Usability Study. JMIR Hum Factors. 2025 May 07; 12:e69144.
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Gonzalez Bosquet J, Polio A, George E, Tarhini AA, Cosgrove CM, Huang MS, Corr B, Leiser AL, Salhia B, Darcy K, Tarney CM, Dood RL, Dockery LE, Edge SB, Cavnar MJ, Landrum L, Rounbehler RJ, Churchman M, Wagner VM. Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence. JCO Precis Oncol. 2025 May; 9:e2400859.
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Reed SM. Augmented and Programmatically Optimized LLM Prompts Reduce Chemical Hallucinations. J Chem Inf Model. 2025 May 12; 65(9):4274-4280.
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Ozmen O, Rush E, Park BH, Jones M, Trafton J, Brenner L, Rupper RW, Ward M, Nebeker JR, Pizer SD. Combining Machine Learning and Comparative Effectiveness Methodology to Study Primary Care Pharmacotherapy Pathways for Veterans With Depression. Med Care. 2025 Jun 01; 63(6):422-429.
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Golnari P, Prantzalos K, Hood V, Meskis MA, Isom LL, Wilcox K, Parent JM, Lal D, Lhatoo SD, Goodkin HP, Wirrell EC, Knupp KG, Patel M, Loeb JA, Sullivan JE, Harte-Hargrove L, Fureman BE, Buchhalter J, Sahoo SS. Ontology accelerates few-shot learning capability of large language model: A study in extraction of drug efficacy in a rare pediatric epilepsy. Int J Med Inform. 2025 Sep; 201:105942.
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Levy E, Claar D, Co I, Fuchs BD, Ginestra J, Kohn R, McSparron JI, Patel B, Weissman GE, Kerlin MP, Sjoding MW. Development and External Validation of a Detection Model to Retrospectively Identify Patients With Acute Respiratory Distress Syndrome. Crit Care Med. 2025 Jun 01; 53(6):e1224-e1234.
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