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Project DAMOS: Database for Mobile Sensing Studies in Mental Healthcare
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Description: Project DAMOS aims to establish a comprehensive DAtabase for MObile Sensing studies (DAMOS) dedicated to mental healthcare. The primary objective involves the systematic search of various bibliographic databases, including IEEE Xplore, ACM Digital Library, PsycINFO, Medline, Embase, and CENTRAL, to identify research studies that leverage smart sensors for mental health data collection. The identified articles will be aggregated into a unified database, equipped with filtering capabilities based on criteria such as the type of mental disorder, the specific sensor employed, outcome type, and their combinations. The resultant database will facilitate the conduct of systematic reviews addressing specific inquiries within the realm of mobile sensing in mental healthcare. Accessibility to this database will be extended to researchers active in the field, fostering further exploration and analysis. Additionally, the project will continually register sub-studies, contributing to the ongoing expansion and refinement of the database.
Medline, Embase, PsycINFO, CENTRAL, IEEE Xplore, and ACM Digital Library will be systematically searched with a pre-defined search string. Please find the search string for Medline within the OSF storage. The search query combines free-text words and medical subject headings (MeSH terms) related to the key words of mobile sensing and mental disorders.
Papers resulting from the bibliographic databa…
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Project DAMOS: Mapping Review Protocol
| Registered: 2022-11-08 15:01 UTC
As an outcome of the DAMOS project (DOI 10.17605/OSF.IO/5UKT9), a mapping review will be conducted to deliver an initial comprehensive overview of the...
Sensor-Based Classification Algorithms for Early Detection and Differentiation of Depression and Depressive Disorders: A systematic review and meta-analysis – DAMOS-DEP1
| Registered: 2024-02-13 13:26 UTC
Background: Depression poses a significant public health burden, necessitating innovative approaches for early detection and precise differentiation b...
Classification accuracy of machine learning models for anxiety disorders using mobile sensor data: A systematic Review and meta-analysis – DAMOS-ANX
| Registered: 2024-02-15 10:55 UTC
Background: Anxiety disorders are quite heterogeneous in their nature. Digital phenotyping and mobile sensing can assist in symptom monitoring and ass...
Passive Sensing of Psychosis Spectrum Disorders – A Systematic Review and Meta-Analysis – DAMOS-PSY
| Registered: 2024-02-15 16:36 UTC
Psychosis Spectrum Disorders (e.g. schizophrenia, brief psychotic disorder) are among the most impairing mental health disorders and early interventio...
Passive Sensing of Mania in Bipolar Disorder I – A Systematic Review and Meta-Analysis – DAMOS-BP
| Registered: 2024-02-15 16:13 UTC
Mania, a defining symptom of Bipolar Disorder I, poses significant challenges in timely detection and intervention as it is a dangerous condition for ...
Performance of Machine Learning Regression Models for Predicting Depression Using Smartphone and Wearable Data: A Systematic Review and Meta-Analysis – DAMOS-DEP2
| Registered: 2024-02-15 13:06 UTC
Depression is the most prevalent mental disorder, causing an enormous burden on individuals and society. Prediction of depression is crucial for devel...
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