Digital phenotyping to improve prediction of suicidal urges in treatment: Study protocol
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Substantial time is required for an accurate diagnosis of depression, which is often observed alongside other physical and psychiatric comorbidities that may obscure a diagnosis of depression.
“Substantial time is required for an accurate diagnosis of depression, which is often observed alongside other physical and psychiatric comorbidities 32 that may obscure a diagnosis of depression.”
From Digital health technologies and major depressive disorder (2023) · cites this paper as [32]
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References 81 · Cited by 20
- Authors
- Brown, L. A., Taylor, D. J., Bryan, C., Wiley, J. F., Pruiksma, K., Khazem, L., Baker, J. C., Young, J., & O'Leary, K.
- Affiliations
- University of Pennsylvania (US)
- University of Arizona (US)
- The Ohio State University Wexner Medical Center (US)
- Monash University (AU)
- The University of Texas at San Antonio Health Science Center (US)
- Corresponding author
- Brown, Lily A.
- ORCID
- Venue
- Aggression and Violent Behavior
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 66
- Pages
- 101733
- ISSN
- 1359-1789 (ISSN-L)
- OpenAlex
- W4210908276
- Cited by
- 20
- References
- 81
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 5 · 2023: 4 · 2022: 2
- FWCI
- 3.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Aggression and Violent Behavior (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- digital phenotyping, suicidal ideation, suicide attempts, military personnel, Marines, suicide risk assessment, Fitbit, ecological momentary assessment, real-time intervention
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