Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach

BACKGROUND: Mental health disorders affect multiple aspects of patients’ lives, including mood, cognition, and behavior. eHealth and mobile health (mHealth) technologies enable rich sets of information to be collected noninvasively, representing a promising opportunity to construct behavioral marker...

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Detalles Bibliográficos
Autores principales: Sükei, Emese, Norbury, Agnes, Perez-Rodriguez, M Mercedes, Olmos, Pablo M, Artés, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088855/
https://www.ncbi.nlm.nih.gov/pubmed/33749612
http://dx.doi.org/10.2196/24465

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088855/
https://www.ncbi.nlm.nih.gov/pubmed/33749612
http://dx.doi.org/10.2196/24465

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