Accuracy of Support-Vector Machines for Diagnosis of Alzheimer's Disease, Using Volume of Brain Obtained by Structural MRI at Siriraj Hospital

Accuracy of Support-Vector Machines for Diagnosis of Alzheimer's Disease, Using Volume of Brain Obtained by Structural MRI at Siriraj Hospital

Background: The determination of brain volumes using visual ratings is associated with an inherently low accuracy for the diagnosis of Alzheimer's disease (AD). A support-vector machine (SVM) is one of the machine learning techniques, which may be utilized as a classifier for various classifica...

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Bibliographic Details
Main Authors: Yudthaphon Vichianin, Anutr Khummongkol, Pipat Chiewvit, Atthapon Raksthaput, Sunisa Chaichanettee, Nuttapol Aoonkaew, Vorapun Senanarong
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Neurology
Subjects:
Alzheimer disease
support vector machine
machine learning
volumetric MRI
Thailand
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.640696/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2021.640696/full

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