Quantitative modeling of psychopathology using passively collected data
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Date of first publication2023-01-24
Date of publication in PubData 2026-09-07
Language of the resource
English
Abstract
The goal of this Research Topic is to explore how passively collected data from sources like smartphones and wearable sensors can be used in combination with quantitative methods to improve our understanding and prediction of mental health. The manuscripts in this collection show how these data can be easily collected with minimal burden and can be used to gain new insights into mental health and to predict changes in mental health conditions.
Keywords
Digital Phenotyping; Digital Biomarker; Mobile Sensing; Machine Learning; Passive Sensing