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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314163/
https://www.ncbi.nlm.nih.gov/pubmed/34255713
http://dx.doi.org/10.2196/26540

Ejemplares similares