Vocal markers of schizophrenia: assessing the generalizability of machine learning models and their clinical applicability

INTRODUCTION: Machine learning (ML) approaches are a promising venue for identifying vocal markers of neuropsychiatric disorders, such as schizophrenia. While recent studies have shown that voice-based ML models can reliably predict diagnosis and clinical symptoms of schizophrenia, it is unclear to...

Descripción completa

Detalles Bibliográficos
Autores principales: Parola, A., Rybner, A., Jessen, E. T., Damsgaard Mortensen, M., Nyhus Larsen, S., Simonsen, A., Zhou, Y., Koelkebeck, K., Bliksted, V., Fusaroli, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Abstract
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596474/
http://dx.doi.org/10.1192/j.eurpsy.2023.444

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596474/
http://dx.doi.org/10.1192/j.eurpsy.2023.444

Ejemplares similares