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
Publicado en:JMIR Mhealth Uhealth
Main Authors: Opoku Asare, Kennedy, Terhorst, Yannik, Vega, Julio, Peltonen, Ella, Lagerspetz, Eemil, Ferreira, Denzil
Formato: Artigo
Idioma:Inglês
Publicado: JMIR Publications 2021
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Original Paper
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC8314163/
https://ncbi.nlm.nih.gov/pubmed/34255713
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/26540
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