"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 |
|---|
| 2013 | 0 | 1 | 1 |
| 2015 | 0 | 1 | 1 |
| 2016 | 1 | 0 | 1 |
| 2017 | 0 | 1 | 1 |
| 2019 | 1 | 1 | 2 |
| 2020 | 1 | 0 | 1 |
| 2021 | 0 | 1 | 1 |
| 2022 | 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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A Bayesian mixed effects support vector machine for learning and predicting daily substance use disorder patterns. Am J Drug Alcohol Abuse. 2022 Jul 04; 48(4):413-421.
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Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study. Neuroimage Clin. 2021; 31:102765.
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Machine learning-based multimodal prediction of language outcomes in chronic aphasia. Hum Brain Mapp. 2021 04 15; 42(6):1682-1698.
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Harmonizing Genetic Ancestry and Self-identified Race/Ethnicity in Genome-wide Association Studies. Am J Hum Genet. 2019 10 03; 105(4):763-772.
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Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke. PLoS One. 2019; 14(2):e0212778.
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Using machine learning to classify temporal lobe epilepsy based on diffusion MRI. Brain Behav. 2017 10; 7(10):e00801.
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Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values. PLoS One. 2016; 11(5):e0155119.
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Proteomic Analysis of Plasma from California Sea Lions (Zalophus californianus) Reveals Apolipoprotein E as a Candidate Biomarker of Chronic Domoic Acid Toxicosis. PLoS One. 2014; 10(4):e0123295.
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Extreme learning machine-based classification of ADHD using brain structural MRI data. PLoS One. 2013; 8(11):e79476.