Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review
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Title
Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review
Authors
Keywords
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Journal
JOURNAL OF MEDICAL INTERNET RESEARCH
Volume 24, Issue 2, Pages e28735
Publisher
JMIR Publications Inc.
Online
2021-12-24
DOI
10.2196/28735
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Note: Only part of the references are listed.- Screening accuracy of a 14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: Comparison with the PHQ-9 depression screening
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- Smartphones in mental health: a critical review of background issues, current status and future concerns
- (2020) Michael Bauer et al. International Journal of Bipolar Disorders
- A Survey on Differentially Private Machine Learning [Review Article]
- (2020) Maoguo Gong et al. IEEE Computational Intelligence Magazine
- Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling
- (2020) Anna Z. Antosik-Wójcińska et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Mental health ubiquitous monitoring supported by social situation awareness: A systematic review
- (2020) Ivan Moura et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones
- (2020) Nicholas C. Jacobson et al. SENSORS
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- (2020) James Benoit et al. HARVARD REVIEW OF PSYCHIATRY
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- (2020) Alina Haines-Delmont et al. JMIR mHealth and uHealth
- Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study
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- Recognizing Context-Aware Human Sociability Patterns Using Pervasive Monitoring for Supporting Mental Health Professionals
- (2020) Ivan Rodrigues de Moura et al. SENSORS
- Passive data collection and use in healthcare: A systematic review of ethical issues
- (2019) Nicole A. Maher et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations
- (2019) Alina Trifan et al. JMIR mHealth and uHealth
- Using a Smartphone App to Identify Clinically Relevant Behavior Trends via Symptom Report, Cognition Scores, and Exercise Levels: A Case Series
- (2019) Hannah Wisniewski et al. Frontiers in Psychiatry
- Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications
- (2019) Scott Barnett et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Touchscreen typing pattern analysis for remote detection of the depressive tendency
- (2019) Rafail-Evangelos Mastoras et al. Scientific Reports
- A survey on big data-driven digital phenotyping of mental health
- (2019) Yunji Liang et al. Information Fusion
- Systematic review of smartphone-based passive sensing for health and wellbeing
- (2018) Victor P. Cornet et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Using smartphone sensor technology for mental health research: Clear obstacles and hidden challenges (Preprint)
- (2018) Tjeerd W Boonstra et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Group-personalized regression models for prediction of mental health scores from objective mobile phone data streams (Preprint)
- (2018) Niclas Palmius et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- A Survey of Data Mining and Deep Learning in Bioinformatics
- (2018) Kun Lan et al. JOURNAL OF MEDICAL SYSTEMS
- Mental health monitoring with multimodal sensing and machine learning: A survey
- (2018) Enrique Garcia-Ceja et al. Pervasive and Mobile Computing
- Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)
- (2018) Amina Adadi et al. IEEE Access
- Combining continuous smartphone native sensors data capture and unsupervised data mining techniques for behavioral changes detection: The feasibility study of the Evidence Based Behavior (eB2) platform (Preprint)
- (2018) Sofian Berrouiguet et al. JMIR mHealth and uHealth
- Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study
- (2018) Archana Sarda et al. JMIR mHealth and uHealth
- RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices
- (2018) Yatharth Ranjan et al. JMIR mHealth and uHealth
- A Survey of Wearable Devices and Challenges
- (2017) Suranga Seneviratne et al. IEEE Communications Surveys and Tutorials
- Digital Phenotyping
- (2017) Thomas R. Insel JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Use of Multimodal Technology to Identify Digital Correlates of Violence Among Inpatients With Serious Mental Illness: A Pilot Study
- (2017) Dror Ben-Zeev et al. PSYCHIATRIC SERVICES
- Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness
- (2017) Ariel Soares Teles et al. SENSORS
- Correlations between objective behavioral features collected from mobile and wearable devices, and mood symptoms in affective disorders: A systematic review (Preprint)
- (2017) Darius Adam Rohani et al. JMIR mHealth and uHealth
- A Survey on Mobile Social Signal Processing
- (2016) Niklas Palaghias et al. ACM COMPUTING SURVEYS
- The relationship between mobile phone location sensor data and depressive symptom severity
- (2016) Sohrab Saeb et al. PeerJ
- Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild
- (2016) Fabian Wahle et al. JMIR mHealth and uHealth
- The digital phenotype
- (2015) Sachin H Jain et al. NATURE BIOTECHNOLOGY
- Purple: A Modular System for Developing and Deploying Behavioral Intervention Technologies
- (2014) Stephen M Schueller et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it?
- (2012) S Kapur et al. MOLECULAR PSYCHIATRY
- Harnessing Context Sensing to Develop a Mobile Intervention for Depression
- (2011) Michelle Nicole Burns et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Social fMRI: Investigating and shaping social mechanisms in the real world
- (2011) Nadav Aharony et al. Pervasive and Mobile Computing
- Ecological Momentary Assessment
- (2007) Saul Shiffman et al. Annual Review of Clinical Psychology
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