Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features

• Published in: Sensors (Basel, Switzerland) Vol. 19; no. 23; p. 5323
• Main Authors: Cavaliere, Carlo, Vilades, Elisa, Alonso-Rodríguez, Mª, Rodrigo, María, Pablo, Luis, Miguel, Juan, López-Guillén, Elena, Morla, Eva, Boquete, Luciano, Garcia-Martin, Elena
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 03.12.2019; MDPI
• Subjects: Biomarkers; Clinical medicine; Diabetic retinopathy; Discriminant analysis; Disease; Glaucoma; Magnetic resonance imaging; Multiple sclerosis; Nervous system; Neurodegeneration; Optics; Pathology; Patients; Support vector machines; confusion matrix; support vector machine; optical coherence tomography; multiple sclerosis

The purpose of this paper is to evaluate the feasibility of diagnosing multiple sclerosis (MS) using optical coherence tomography (OCT) data and a support vector machine (SVM) as an automatic classifier. Forty-eight MS patients without symptoms of optic neuritis and forty-eight healthy control subje...