"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 |
| 2015 | 0 | 1 | 1 |
| 2016 | 1 | 1 | 2 |
| 2018 | 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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SCAI/ACR/APMA/SCVS/SIR/SVM/SVS/VESS position statement on competencies for endovascular specialists providing CLTI?care. J Vasc Surg. 2022 07; 76(1):25-34.
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SCAI/ACR/APMA/SCVS/SIR/SVM/SVS/VESS Position Statement on Competencies for Endovascular Specialists Providing CLTI Care. Vasc Med. 2022 08; 27(4):405-414.
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Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson's Disease. Sci Rep. 2018 05 08; 8(1):7129.
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Support vector machines for automated snoring detection: proof-of-concept. Sleep Breath. 2017 Mar; 21(1):119-133.
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Intrinsic functional connectivity predicts individual differences in distractibility. Neuropsychologia. 2016 06; 86:176-82.
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Classification methods for the analysis of LH-PCR data associated with inflammatory bowel disease patients. Int J Bioinform Res Appl. 2015; 11(2):111-29.
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A panel of four miRNAs accurately differentiates malignant from benign indeterminate thyroid lesions on fine needle aspiration. Clin Cancer Res. 2012 Apr 01; 18(7):2032-8.
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Kernelized partial least squares for feature reduction and classification of gene microarray data. BMC Syst Biol. 2011; 5 Suppl 3:S13.