"Support Vector Machine" 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.
SUPERVISED MACHINE LEARNING algorithm which learns to assign labels to objects from a set of training examples. Examples are learning to recognize fraudulent credit card activity by examining hundreds or thousands of fraudulent and non-fraudulent credit card activity, or learning to make disease diagnosis or prognosis based on automatic classification of microarray gene expression profiles drawn from hundreds or thousands of samples.
| Descriptor ID |
D060388
|
| MeSH Number(s) |
G17.035.250.500.500.500 L01.224.050.375.530.500.500
|
| Concept/Terms |
Support Vector Machine- Support Vector Machine
- Machine, Support Vector
- Machines, Support Vector
- Support Vector Machines
- Vector Machine, Support
- Vector Machines, Support
Support Vector Network- Support Vector Network
- Network, Support Vector
- Networks, Support Vector
- Support Vector Networks
- Vector Network, Support
- Vector Networks, Support
|
Below are MeSH descriptors whose meaning is more general than "Support Vector Machine".
Below are MeSH descriptors whose meaning is more specific than "Support Vector Machine".
This graph shows the total number of publications written about "Support Vector Machine" by people in this website by year, and whether "Support Vector Machine" was a major or minor topic of these publications.
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2011 | 0 | 1 | 1 |
| 2012 | 1 | 2 | 3 |
| 2015 | 1 | 0 | 1 |
| 2017 | 0 | 2 | 2 |
| 2018 | 0 | 2 | 2 |
| 2019 | 1 | 3 | 4 |
| 2020 | 0 | 2 | 2 |
| 2021 | 1 | 0 | 1 |
| 2022 | 0 | 1 | 1 |
| 2025 | 1 | 0 | 1 |
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Below are the most recent publications written about "Support Vector Machine" by people in Profiles.
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Automated Imaging Differentiation for Parkinsonism. JAMA Neurol. 2025 May 01; 82(5):495-505.
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Epileptic seizure prediction using spectral width of the covariance matrix. J Neural Eng. 2022 04 05; 19(2).
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Decoding Human Cognitive Control Using Functional Connectivity of Local Field Potentials. Annu Int Conf IEEE Eng Med Biol Soc. 2021 11; 2021:451-454.
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Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals. Phys Eng Sci Med. 2020 Dec; 43(4):1229-1239.
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Major depressive disorder assessment via enhanced k-nearest neighbor method and EEG signals. Phys Eng Sci Med. 2020 Sep; 43(3):1007-1018.
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Using proteomic profiling to characterize protein signatures of different thymoma subtypes. BMC Cancer. 2019 Aug 13; 19(1):796.
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Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma. Nat Commun. 2019 07 18; 10(1):3170.
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Molecular and epigenetic profiles of BRCA1-like hormone-receptor-positive breast tumors identified with development and application of a copy-number-based classifier. Breast Cancer Res. 2019 01 25; 21(1):14.
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Multi-institutional Clinical Tool for Predicting High-risk Lesions on 3Tesla Multiparametric Prostate Magnetic Resonance Imaging. Eur Urol Oncol. 2019 05; 2(3):257-264.
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Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects. Am J Psychiatry. 2019 02 01; 176(2):119-128.