Log in to save to my catalogue

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom...

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5d237ca34ae046f88d99f3c7a81b4fd3

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

About this item

Full title

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

Publisher

Canada: Journal of Medical Internet Research

Journal title

Journal of medical Internet research, 2023-08, Vol.25 (23), p.e45233-e45233

Language

English

Formats

Publication information

Publisher

Canada: Journal of Medical Internet Research

More information

Scope and Contents

Contents

Major depressive disorder (MDD) affects millions of people worldwide, but timely treatment is not often received owing in part to inaccurate subjective recall and variability in the symptom course. Objective and frequent MDD monitoring can improve subjective recall and help to guide treatment selection. Attempts have been made, with varying degrees...

Alternative Titles

Full title

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5d237ca34ae046f88d99f3c7a81b4fd3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5d237ca34ae046f88d99f3c7a81b4fd3

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/45233

How to access this item