Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review.

ABSTRACT:

Background

Mental disorders are normally diagnosed exclusively on the basis of symptoms, which are identified from patients' interviews and self-reported experiences. To make mental health diagnoses and monitoring more objective, different solutions have been proposed such as digital phenotyping of mental health (DPMH), which can expand the ability to identify and monitor health conditions based on the interactions of people with digital technologies.

Objective

This article aims to identify and characterize the sensing applications and public data sets for DPMH from a technical perspective.

Methods

We performed a systematic review of scientific literature and data sets. We searched 8 digital libraries and 20 data set repositories to find results that met the selection

SUBMITTER: Mendes JPM 

PROVIDER: S-EPMC8895287 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature