Use of voice features from smartphones for monitoring depressive disorders: Scoping review.
Shin J, Bae SM. · Digital health · 2024 · Review
Original publication · Original publication · Original publication
Recorded summary
Reference associated with Vocal Biomarker Technologies for Mental Health.
Recorded limitations
Bibliographic metadata matched; scientific claims await appraisal.
Evidence and provenance
Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.
Study design and assessment
- design
- Review
- assessment
- Not recorded
- trust Factor
- scope
- Paper
- status
- unassessed
- score
- Not recorded
- basis
- Bibliographic identity checks do not establish study design, blinding or evidential strength.
- jadad
- status
- unassessed
- score
- Not recorded
- evidence
- Not recorded
Topics and recorded topic scores
None recordedCitation snapshot and identifiers
- id
- hsi-8c4a775b474639
- doi
- 10.1177/20552076241261920
- pmid
- 38882248
- citation Snapshot
- Not recorded
- citations By Collection
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- Not recorded
Complete approved library record
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- hsi-8c4a775b474639
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- hsi-8c4a775b474639
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- Review
- title
- Use of voice features from smartphones for monitoring depressive disorders: Scoping review.
- authors
- Shin J, Bae SM.
- year
- 2024
- journal
- Digital health
- doi
- 10.1177/20552076241261920
- pmid
- 38882248
- pmcid
- PMC11179519
- patent Number
- Not recorded
- original Assignee
- Not recorded
- original Citation
- Low DM et al. (2024). "Smartphone-derived voice features for depression monitoring: A scoping review." PMC (PMC11179519) — Smartphone voice features show promise for depression monitoring; sole predictive power requires further validation
- original Section
- Vocal Biomarker Technologies for Mental Health
- metadata Status
- metadata-reconciled
- claim Review
- Not independently appraised
- source URL
- https://www.notion.so/3807b9c99c5680599be7d8337c817b15
- publication URL
- https://pubmed.ncbi.nlm.nih.gov/38882248/
- metadata URL
- https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1177%2F20552076241261920%22&format=json&resultType=core&pageSize=4
- corrections
Canonical title, authors, year and identifiers follow the linked public metadata record. The original citation is retained for comparison. · Published title reconciled with the metadata record. · Author attribution differs from the public metadata; canonical authors are shown in source details.
- topic Id
- Not recorded
- role
- Related context in complete bibliography
- source Type
- Review
- source Verification
- Bibliographic metadata matched; scientific claims await appraisal.
- source Collection
- Hyperspectral Imaging · patent section 2.4
- title
- Use of voice features from smartphones for monitoring depressive disorders: Scoping review.
- journal
- Digital health
- neurotransmitters
- None recorded
- year
- 2024
- authors
- Shin J, Bae SM.
- design
- Review
- kind
- Review
- identity Conflict
- Not recorded
- doi
- 10.1177/20552076241261920
- pmid
- 38882248
- urls
https://pubmed.ncbi.nlm.nih.gov/38882248/ · https://doi.org/10.1177/20552076241261920 · https://pmc.ncbi.nlm.nih.gov/articles/PMC11179519/
- collections
general
- categories
Hyperspectral Imaging
- targets
- None recorded
- priority
- 1
- quotes
- None recorded
- summary
- Reference associated with Vocal Biomarker Technologies for Mental Health.
- limitation
- Bibliographic metadata matched; scientific claims await appraisal.
- citation Count
- Not recorded
- paper Trust Assessment
- scope
- Paper
- status
- unassessed
- score
- Not recorded
- basis
- Bibliographic identity checks do not establish study design, blinding or evidential strength.
- citations By Collection
- general
- Not recorded
- topics
- None recorded
- journal Key
- digitalhealth
- journal Label
- Digital health
- chapter Entries
- None recorded
- jadad
- status
- unassessed
- score
- Not recorded
- condition Evidence
- None recorded
- conditions
- None recorded
- topic Trust Scores
- None recorded
- full Text
- status
- not-indexed
- retrieval Available
- false