"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 |
| 2013 | 1 | 2 | 3 |
| 2015 | 2 | 0 | 2 |
| 2017 | 0 | 2 | 2 |
| 2018 | 0 | 2 | 2 |
| 2019 | 1 | 2 | 3 |
| 2020 | 1 | 0 | 1 |
| 2021 | 1 | 1 | 2 |
| 2022 | 0 | 1 | 1 |
| 2024 | 0 | 1 | 1 |
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Below are the most recent publications written about "Support Vector Machine" by people in Profiles.
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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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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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Classification of first-episode psychosis using cortical thickness: A large multicenter MRI study. Eur Neuropsychopharmacol. 2021 06; 47:34-47.
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Development of Machine Learning Algorithms for the Prediction of Financial Toxicity in Localized Breast Cancer Following Surgical Treatment. JCO Clin Cancer Inform. 2021 03; 5:338-347.
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Development and Validation of a Gene Signature Classifier for Consensus Molecular Subtyping of Colorectal Carcinoma in a CLIA-Certified Setting. Clin Cancer Res. 2021 01 01; 27(1):120-130.
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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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Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control. Commun Biol. 2020 03 09; 3(1):112.
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Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects. IEEE J Biomed Health Inform. 2020 05; 24(5):1284-1295.