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Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study

BACKGROUND: Depression is a prevalent mental health challenge. Current depression assessment methods using self-reported and clinician-administered questionnaires have limitations. Instrumenting smartphones to passively and continuously collect moment-by-moment data sets to quantify human behaviors...

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Detalles Bibliográficos
Autores principales:	Opoku Asare, Kennedy, Terhorst, Yannik, Vega, Julio, Peltonen, Ella, Lagerspetz, Eemil, Ferreira, Denzil
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2021
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314163/ https://www.ncbi.nlm.nih.gov/pubmed/34255713 http://dx.doi.org/10.2196/26540

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