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Autor:
A. Parola, A. Rybner, E. T. Jessen, M. Damsgaard Mortensen, S. Nyhus Larsen, A. Simonsen, Y. Zhou, K. Koelkebeck, V. Bliksted, R. Fusaroli
Publikováno v:
European Psychiatry, Vol 66, Pp S186-S186 (2023)
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 clin
Externí odkaz:
https://doaj.org/article/62e05ff89db04fccbc81345665cf3231
