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.
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2015 | 0 | 1 | 1 |
| 2018 | 1 | 0 | 1 |
| 2019 | 1 | 1 | 2 |
| 2020 | 0 | 1 | 1 |
| 2021 | 0 | 2 | 2 |
| 2022 | 1 | 0 | 1 |
| 2024 | 2 | 2 | 4 |
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Below are the most recent publications written about "Unsupervised Machine Learning" by people in Profiles.
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Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding. Neural Comput. 2024 Jul 19; 36(8):1449-1475.
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Missing Wedge Completion via Unsupervised Learning with Coordinate Networks. Int J Mol Sci. 2024 May 17; 25(10).
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Identification of sleep phenotypes in COPD using machine learning-based cluster analysis. Respir Med. 2024 06; 227:107641.
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Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification. Int J Radiat Oncol Biol Phys. 2024 Aug 01; 119(5):1569-1578.
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Quantifying the Severity of Metopic Craniosynostosis Using Unsupervised Machine Learning. Plast Reconstr Surg. 2023 02 01; 151(2):396-403.
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Unsupervised machine learning can delineate central sulcus by using the spatiotemporal characteristic of somatosensory evoked potentials. J Neural Eng. 2021 04 29; 18(4).
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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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The Oscillatory ReConstruction Algorithm adaptively identifies frequency bands to improve spectral decomposition in human and rodent neural recordings. J Neurophysiol. 2020 12 01; 124(6):1914-1922.
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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance. Sci Rep. 2019 11 22; 9(1):17390.
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Predicting venous thromboembolism risk from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges. Hum Mutat. 2019 09; 40(9):1314-1320.