Fernando García-Gutiérrez, Montserrat Alegret, Marta Marquié, Nathalia Muñoz, Gemma Ortega, Amanda Cano, Itziar De Rojas, Pablo García-González, Clàudia Olivé, Raquel Puerta, Ainhoa García-Sanchez, María Capdevila-Bayo, Laura Montrreal, Vanesa Pytel, Maitee Rosende-Roca, Carla Zaldua, Peru Gabirondo, Lluís Tárraga, Agustín Ruiz, Mercè Boada, Sergi Valero
BACKGROUND: Advancement in screening tools accessible to the general population for the early detection of Alzheimer's disease (AD) and prediction of its progression is essential for achieving timely therapeutic interventions and conducting decentralized clinical trials. This study delves into the application of Machine Learning (ML) techniques by leveraging paralinguistic features extracted directly from a brief spontaneous speech (SS) protocol. We aimed to explore the capability of ML techniques to discriminate between different degrees of cognitive impairment based on SS...
February 2, 2024: Alzheimer's Research & Therapy