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Article

From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression.

Neuroscience and biobehavioral reviews - 1 Mar 2024

Leaning Imogen E, Ikani Nessa, Savage Hannah S, Leow Alex, Beckmann Christian, Ruhé Henricus G, Marquand Andre F

Abstract excerpt

BACKGROUND: Smartphone-based digital phenotyping enables potentially clinically relevant information to be collected as individuals go about their day. This could improve monitoring and interventions for people with Major Depressive Disorder (MDD). The aim of this systematic review was to investigate current digital phenotyping features and methods used in MDD. METHODS: We searched PubMed, PsycINFO, Embase,...

Topics

Humans
Smartphone
Major Depressive Disorder
Phenotype

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 38215802
DOI: 10.1016/j.neubiorev.2024.105541

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 29 Aug 2026. Prepared record publication-38215802-2026-08-29.1. Manifest publication-graph-cohort-2026-08-29.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 29 Aug 2026.

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