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Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorith...

Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorith...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b363272b28f24836b5dee1af59fd2583

Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorithm Development and Validation Study

About this item

Full title

Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorithm Development and Validation Study

Publisher

Canada: Journal of Medical Internet Research

Journal title

Journal of medical Internet research, 2024-10, Vol.26 (10258), p.e58572

Language

English

Formats

Publication information

Publisher

Canada: Journal of Medical Internet Research

More information

Scope and Contents

Contents

While speech analysis holds promise for mental health assessment, research often focuses on single symptoms, despite symptom co-occurrences and interactions. In addition, predictive models in mental health do not properly assess the limitations of speech-based systems, such as uncertainty, or fairness for a safe clinical deployment.
We investiga...

Alternative Titles

Full title

Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorithm Development and Validation Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b363272b28f24836b5dee1af59fd2583

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b363272b28f24836b5dee1af59fd2583

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/58572

How to access this item