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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Detalles Bibliográficos
Autores principales: Vichianin, Yudthaphon, Khummongkol, Anutr, Chiewvit, Pipat, Raksthaput, Atthapon, Chaichanettee, Sunisa, Aoonkaew, Nuttapol, Senanarong, Vorapun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141708/
https://www.ncbi.nlm.nih.gov/pubmed/34040575
http://dx.doi.org/10.3389/fneur.2021.640696

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141708/
https://www.ncbi.nlm.nih.gov/pubmed/34040575
http://dx.doi.org/10.3389/fneur.2021.640696

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