Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies

Mobile sensing data processed using machine learning models can passively and remotely assess mental health symptoms from the context of patients’ lives. Prior work has trained models using data from single longitudinal studies, collected from demographically homogeneous populations, over short time...

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Detalles Bibliográficos
Autores principales: Adler, Daniel A., Wang, Fei, Mohr, David C., Choudhury, Tanzeem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045602/
https://www.ncbi.nlm.nih.gov/pubmed/35476787
http://dx.doi.org/10.1371/journal.pone.0266516

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045602/
https://www.ncbi.nlm.nih.gov/pubmed/35476787
http://dx.doi.org/10.1371/journal.pone.0266516

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