 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 |
|---|
| 2015 | 4 | 4 | 8 | | 2016 | 0 | 3 | 3 | | 2017 | 9 | 10 | 19 | | 2018 | 11 | 8 | 19 | | 2019 | 15 | 11 | 26 | | 2020 | 11 | 6 | 17 |
To return to the timeline, click here.
Below are the most recent publications written about "Machine Learning" by people in Profiles.
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Kim H, Smolker HR, Smith LL, Banich MT, Lewis-Peacock JA. Changes to information in working memory depend on distinct removal operations. Nat Commun. 2020 12 07; 11(1):6239.
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Link KG, Stobb MT, Monroe DM, Fogelson AL, Neeves KB, Sindi SS, Leiderman K. Computationally Driven Discovery in Coagulation. Arterioscler Thromb Vasc Biol. 2021 01; 41(1):79-86.
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Mandair D, Tiwari P, Simon S, Colborn KL, Rosenberg MA. Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data. BMC Med Inform Decis Mak. 2020 10 02; 20(1):252.
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Ghasemian A, Hosseinmardi H, Galstyan A, Airoldi EM, Clauset A. Stacking models for nearly optimal link prediction in complex networks. Proc Natl Acad Sci U S A. 2020 09 22; 117(38):23393-23400.
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Chu R, Chen W, Song G, Yao S, Xie L, Song L, Zhang Y, Chen L, Zhang X, Ma Y, Luo X, Liu Y, Sun P, Zhang S, Fang Y, Dong T, Zhang Q, Peng J, Zhang L, Wei Y, Zhang W, Su X, Qiao X, Song K, Yang X, Kong B. Predicting the Risk of Adverse Events in Pregnant Women With Congenital Heart Disease. J Am Heart Assoc. 2020 07 21; 9(14):e016371.
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Debache I, Jeantet L, Chevallier D, Bergouignan A, Sueur C. A Lean and Performant Hierarchical Model for Human Activity Recognition Using Body-Mounted Sensors. Sensors (Basel). 2020 May 29; 20(11).
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Hu Q, Greene CS, Heller EA. Specific histone modifications associate with alternative exon selection during mammalian development. Nucleic Acids Res. 2020 05 21; 48(9):4709-4724.
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Warsavage T, Xing F, Barón AE, Feser WJ, Hirsch E, Miller YE, Malkoski S, Wolf HJ, Wilson DO, Ghosh D. Quantifying the incremental value of deep learning: Application to lung nodule detection. PLoS One. 2020; 15(4):e0231468.
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Kohoutová L, Heo J, Cha S, Lee S, Moon T, Wager TD, Woo CW. Toward a unified framework for interpreting machine-learning models in neuroimaging. Nat Protoc. 2020 04; 15(4):1399-1435.
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Vu L, Kefayati S, Idé T, Pavuluri V, Jackson G, Latts L, Zhong Y, Agrawal P, Chang YC. Predicting Nocturnal Hypoglycemia from Continuous Glucose Monitoring Data with Extended Prediction Horizon. AMIA Annu Symp Proc. 2019; 2019:874-882.
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