Voice analysis as a digital biomarker: A machine learning approach for automated multiple sclerosis classification

20260 citationsJournal Articlehybrid Open Access

Authors

Jorge Luis Hernández · Universidad de La Laguna

Moisés Betancort · Universidad de La Laguna

Tatiana Arias · Universidad Europea de Canarias

Miguel Ángel Hernández Pérez · Hospital Universitario Nuestra Señora de Candelaria

Abstract

Voice analysis combined with ML presents a non-invasive, low-cost, and effective method for MS discrimination, offering significant potential as a classification support tool.

Topics & Keywords

Multiple Sclerosis Research Studies Systemic Sclerosis and Related Diseases AI in cancer detection

Publication Details

Published in: Multiple Sclerosis and Related Disorders

Volume 109, pp. 107109-107109

DOI: 10.1016/j.msard.2026.107109

Field-Weighted Citation Impact: 0.00

Command Palette

Voice analysis as a digital biomarker: A machine learning approach for automated multiple sclerosis classification

Authors

Abstract

Topics & Keywords

Publication Details