 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 |
|---|
| 2017 | 0 | 1 | 1 | | 2018 | 1 | 0 | 1 | | 2019 | 2 | 2 | 4 | | 2020 | 0 | 3 | 3 | | 2022 | 1 | 1 | 2 | | 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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Feldman K, Baraboo J, Dinakarpandian D, Chan SS. Machine Learning Algorithm Improves the Prediction of Transplant Hepatic Artery Stenosis or Occlusion: A Single-Center Study. Ultrasound Q. 2023 Jun 01; 39(2):86-94.
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Bae S, Samuels JA, Flynn JT, Mitsnefes MM, Furth SL, Warady BA, Ng DK. Machine Learning-Based Prediction of Masked Hypertension Among Children With Chronic Kidney Disease. Hypertension. 2022 09; 79(9):2105-2113.
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Lee AM, Hu J, Xu Y, Abraham AG, Xiao R, Coresh J, Rebholz C, Chen J, Rhee EP, Feldman HI, Ramachandran VS, Kimmel PL, Warady BA, Furth SL, Denburg MR. Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology. J Am Soc Nephrol. 2022 02; 33(2):375-386.
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Cao M, Shao X, Chan P, Cheung W, Kwan T, Pastinen T, Robaire B. High-resolution analyses of human sperm dynamic methylome reveal thousands of novel age-related epigenetic alterations. Clin Epigenetics. 2020 12 14; 12(1):192.
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Kim JH, Sampath V, Canvasser J. Challenges in diagnosing necrotizing enterocolitis. Pediatr Res. 2020 08; 88(Suppl 1):16-20.
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Parvandeh S, Yeh HW, Paulus MP, McKinney BA. Consensus features nested cross-validation. Bioinformatics. 2020 05 01; 36(10):3093-3098.
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Paulus MP, Kuplicki R, Yeh HW. Machine Learning and Brain Imaging: Opportunities and Challenges. Trends Neurosci. 2019 10; 42(10):659-661.
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Clausen AN, Aupperle RL, Yeh HW, Waller D, Payne J, Kuplicki R, Akeman E, Paulus M. Machine Learning Analysis of the Relationships Between Gray Matter Volume and Childhood Trauma in a Transdiagnostic Community-Based Sample. Biol Psychiatry Cogn Neurosci Neuroimaging. 2019 08; 4(8):734-742.
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Kueffner R, Zach N, Bronfeld M, Norel R, Atassi N, Balagurusamy V, Di Camillo B, Chio A, Cudkowicz M, Dillenberger D, Garcia-Garcia J, Hardiman O, Hoff B, Knight J, Leitner ML, Li G, Mangravite L, Norman T, Wang L, Xiao J, Fang WC, Peng J, Yang C, Chang HJ, Stolovitzky G. Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach. Sci Rep. 2019 01 24; 9(1):690.
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Ekhtiari H, Kuplicki R, Yeh HW, Paulus MP. Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI. Sci Rep. 2019 01 23; 9(1):419.
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