Unsupervised Machine Learning
"Unsupervised 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 unlabeled paired input-output training (sample) data.
| Descriptor ID |
D000069558
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| MeSH Number(s) |
G17.035.250.500.750 L01.224.050.375.530.750
|
| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Unsupervised Machine Learning".
Below are MeSH descriptors whose meaning is more specific than "Unsupervised Machine Learning".
This graph shows the total number of publications written about "Unsupervised Machine Learning" by people in this website by year, and whether "Unsupervised 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 | 2 | 2 |
| 2018 | 0 | 1 | 1 |
| 2019 | 1 | 1 | 2 |
| 2020 | 1 | 0 | 1 |
| 2021 | 3 | 1 | 4 |
To return to the timeline, click here.
Below are the most recent publications written about "Unsupervised Machine Learning" by people in Profiles.
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Identifying Communities at Risk for COVID-19-Related Burden Across 500 US Cities and Within New York City: Unsupervised Learning of the Coprevalence of Health Indicators. JMIR Public Health Surveill. 2021 08 26; 7(8):e26604.
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Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy. Elife. 2021 08 05; 10.
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Using Unsupervised Machine Learning to Identify Age- and Sex-Independent Severity Subgroups Among Patients with COVID-19: Observational Longitudinal Study. J Med Internet Res. 2021 05 27; 23(5):e25988.
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The Spread of the COVID-19 Outbreak in Brazil: An Overview by Kohonen Self-Organizing Map Networks. Medicina (Kaunas). 2021 Mar 03; 57(3).
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Public Opinions and Concerns Regarding the Canadian Prime Minister's Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning Techniques. J Med Internet Res. 2021 02 23; 23(2):e23957.
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Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter. Lancet Digit Health. 2021 02; 3(2):e72-e75.
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The association of Coronavirus Disease-19 mortality and prior bacille Calmette-Guerin vaccination: a robust ecological analysis using unsupervised machine learning. Sci Rep. 2021 01 12; 11(1):774.
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Latent COVID-19 Clusters in Patients with Chronic Respiratory Conditions. Stud Health Technol Inform. 2020 Nov 23; 275:32-36.
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The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets. J Med Internet Res. 2020 11 06; 22(11):e24361.
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A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction. PLoS One. 2020; 15(9):e0238907.