Supervised Machine Learning
"Supervised 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 MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of labeled paired input-output training (sample) data.
| Descriptor ID |
D000069553
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| MeSH Number(s) |
G17.035.250.500.500 L01.224.050.375.530.500
|
| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Supervised Machine Learning".
Below are MeSH descriptors whose meaning is more specific than "Supervised Machine Learning".
This graph shows the total number of publications written about "Supervised Machine Learning" by people in this website by year, and whether "Supervised Machine Learning" was a major or minor topic of these publications.
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2018 | 0 | 1 | 1 |
| 2020 | 1 | 0 | 1 |
| 2021 | 1 | 0 | 1 |
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Below are the most recent publications written about "Supervised Machine Learning" by people in Profiles.
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Machine Learning to Differentiate Risk of Suicide Attempt and Self-harm After General Medical Hospitalization of Women With Mental Illness. Med Care. 2021 02 01; 59:S58-S64.
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Classifying changes in LN-18 glial cell morphology: a supervised machine learning approach to analyzing cell microscopy data via FIJI and WEKA. Med Biol Eng Comput. 2020 Jul; 58(7):1419-1430.
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Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services. J Am Med Inform Assoc. 2018 01 01; 25(1):47-53.