Bryant Digital Repository
metadata only
Mobile Communication Log Time Series to Detect Depressive Symptoms
businesscomputer-sciencesdata-sciencedatabases-and-information-systemsdepressionhealth-information-technologyhumansphysical-sciences-and-mathematics
Major Depressive Disorder (MDD) is highly prevalent and characterized by often debilitating behavioral and cognitive symptoms. MDD is poorly understood, likely due to considerable heterogeneity and self-report-driven symptomatology. While researchers have been exploring the ability of machine learni
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Predictors of depression outcomes among university students following brief smartphone-based interventions.#30501
- Mobile Health (mHealth) Technology for Early Detection of Psychosocial Distress in Cancer Patients: A Scoping Review.#224917
- Cost-effectiveness of a smartphone-based personalized lifestyle intervention for symptoms of depression in primary care: protocol for a cluster-randomized controlled trial (LIDIAS).#368232
- Associations between smart health device use and depressive symptoms in older adults from the China longitudinal aging social survey.#182355
- Scales, Reflections, and Conversations: A Multi-Modal Approach to Emotion Annotation#972001
Record · ID 1227718
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive