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.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2017 | 2 | 1 | 3 |
| 2018 | 2 | 0 | 2 |
| 2019 | 0 | 1 | 1 |
| 2020 | 2 | 2 | 4 |
| 2021 | 1 | 3 | 4 |
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Below are the most recent publications written about "Supervised Machine Learning" by people in Profiles.
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Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation. IEEE J Biomed Health Inform. 2021 11; 25(11):4140-4151.
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Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection. PLoS Pathog. 2021 07; 17(7):e1009759.
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MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT. Comput Med Imaging Graph. 2021 09; 92:101957.
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Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application. Sensors (Basel). 2021 Jul 24; 21(15).
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Support Vector Machine as a Supervised Learning for the Prioritization of Novel Potential SARS-CoV-2 Main Protease Inhibitors. Int J Mol Sci. 2021 Jul 19; 22(14).
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Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method. IEEE J Biomed Health Inform. 2021 06; 25(6):1864-1872.
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Future Forecasting of COVID-19: A Supervised Learning Approach. Sensors (Basel). 2021 May 11; 21(10).
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RANDGAN: Randomized generative adversarial network for detection of COVID-19 in chest X-ray. Sci Rep. 2021 04 21; 11(1):8602.
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Semi-supervised learning for an improved diagnosis of COVID-19 in CT images. PLoS One. 2021; 16(4):e0249450.
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Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning. Comput Biol Med. 2021 06; 133:104359.