 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 | 9 | 9 | 18 | | 2018 | 12 | 8 | 20 | | 2019 | 18 | 15 | 33 | | 2020 | 21 | 17 | 38 | | 2021 | 14 | 23 | 37 | | 2022 | 14 | 25 | 39 | | 2023 | 5 | 20 | 25 | | 2024 | 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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Kraus B, Sampathgiri K, Mittal VA. Accurate Machine Learning Prediction in Psychiatry Needs the Right Kind of Information. JAMA Psychiatry. 2024 Jan 01; 81(1):11-12.
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De La Vega FM, Barnes KC, Fox K, Ioannidis A, Kenny E, Mathias RA, Pasaniuc B. Session Introduction: Overcoming health disparities in precision medicine. Pac Symp Biocomput. 2024; 29:322-326.
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Rosenberg MA. Deep Learning and Biased Prediction: More Questions Than Answers? Circ Heart Fail. 2024 01; 17(1):e011368.
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Walsh C, Stallard-Olivera E, Fierer N. Nine (not so simple) steps: a practical guide to using machine learning in microbial ecology. mBio. 2024 Feb 14; 15(2):e0205023.
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Park C, Loza-Avalos SE, Harvey J, Hirschkorn C, Dultz LA, Dumas RP, Sanders D, Chowdhry V, Starr A, Cripps M. A Real-Time Automated Machine Learning Algorithm for Predicting Mortality in Trauma Patients: Survey Says it's Ready for Prime-Time. Am Surg. 2024 Apr; 90(4):655-661.
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Zhuang Y, Dyas A, Meguid RA, Henderson WG, Bronsert M, Madsen H, Colborn KL. Preoperative Prediction of Postoperative Infections Using Machine Learning and Electronic Health Record Data. Ann Surg. 2024 Apr 01; 279(4):720-726.
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Wisotzkey BL, Jaeger B, Asante-Korang A, Brickler M, Cantor RS, Everitt MD, Kirklin JK, Koehl D, Mantell BS, Thrush PT, Kuhn M. Risk factors for 1-year allograft loss in pediatric heart transplant patients using machine learning: An analysis of the pediatric heart transplant society database. Pediatr Transplant. 2023 Dec; 27(8):e14612.
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Charkoftaki G, Aalizadeh R, Santos-Neto A, Tan WY, Davidson EA, Nikolopoulou V, Wang Y, Thompson B, Furnary T, Chen Y, Wunder EA, Coppi A, Schulz W, Iwasaki A, Pierce RW, Cruz CSD, Desir GV, Kaminski N, Farhadian S, Veselkov K, Datta R, Campbell M, Thomaidis NS, Ko AI, Thompson DC, Vasiliou V. An AI-powered patient triage platform for future viral outbreaks using COVID-19 as a disease model. Hum Genomics. 2023 08 29; 17(1):80.
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Lorman V, Razzaghi H, Song X, Morse K, Utidjian L, Allen AJ, Rao S, Rogerson C, Bennett TD, Morizono H, Eckrich D, Jhaveri R, Huang Y, Ranade D, Pajor N, Lee GM, Forrest CB, Bailey LC. A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program. PLoS One. 2023; 18(8):e0289774.
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Isiksacan Z, D'Alessandro A, Wolf SM, McKenna DH, Tessier SN, Kucukal E, Gokaltun AA, William N, Sandlin RD, Bischof J, Mohandas N, Busch MP, Elbuken C, Gurkan UA, Toner M, Acker JP, Yarmush ML, Usta OB. Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine. Proc Natl Acad Sci U S A. 2023 08 08; 120(32):e2115616120.
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