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 |
|
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 |
|---|
| 2015 | 0 | 1 | 1 |
| 2019 | 1 | 0 | 1 |
| 2020 | 0 | 1 | 1 |
| 2021 | 1 | 1 | 2 |
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Below are the most recent publications written about "Supervised Machine Learning" by people in Profiles.
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A machine learning approach to brain epigenetic analysis reveals kinases associated with Alzheimer's disease. Nat Commun. 2021 07 22; 12(1):4472.
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Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip Arthroscopy. Arthroscopy. 2021 05; 37(5):1488-1497.
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Development of supervised machine learning algorithms for prediction of satisfaction at 2 years following total shoulder arthroplasty. J Shoulder Elbow Surg. 2021 Jun; 30(6):e290-e299.
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Validation of an alcohol misuse classifier in hospitalized patients. Alcohol. 2020 05; 84:49-55.
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Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty. J Shoulder Elbow Surg. 2019 Dec; 28(12):e410-e421.
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Movement prediction using accelerometers in a human population. Biometrics. 2016 06; 72(2):513-24.