Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions
暂无分享,去创建一个
Helen Christensen | Tjeerd W Boonstra | Samuel Townsend | Jennifer Nicholas | Frances Shaw | Quincy Jj Wong | Quincy J. J. Wong | H. Christensen | T. Boonstra | J. Nicholas | Frances Shaw | Samuel Townsend
[1] C. Lemon. The User Experience: A Key Step in Realizing the Role of Mental Health Apps , 2018 .
[2] John Torous,et al. Characterizing the Clinical Relevance of Digital Phenotyping Data 1 Quality with Applications to a Cohort with Schizophrenia 2 3 , 2018 .
[3] J. Torous,et al. A Hierarchical Framework for Evaluation and Informed Decision Making Regarding Smartphone Apps for Clinical Care. , 2018, Psychiatric services.
[4] Gabriella M. Harari,et al. Smartphone sensing methods for studying behavior in everyday life , 2017, Current Opinion in Behavioral Sciences.
[5] Tjeerd W. Boonstra,et al. Validation of a smartphone app to map social networks of proximity , 2017, PloS one.
[6] Tjeerd W. Boonstra,et al. Smartphone app to investigate the relationship between social connectivity and mental health , 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[7] Susan Crawford,et al. Open Data Privacy , 2017 .
[8] David A. Ellis,et al. Predicting Smartphone Operating System from Personality and Individual Differences , 2016, Cyberpsychology Behav. Soc. Netw..
[9] Rui Wang,et al. Using Smartphones to Collect Behavioral Data in Psychological Science , 2016, Perspectives on psychological science : a journal of the Association for Psychological Science.
[10] Mirco Musolesi,et al. Towards multi-modal anticipatory monitoring of depressive states through the analysis of human-smartphone interaction , 2016, UbiComp Adjunct.
[11] Linda F. Hogle,et al. Data-intensive resourcing in healthcare , 2016 .
[12] John Torous,et al. New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research , 2016, JMIR mental health.
[13] John Geddes,et al. Big data for bipolar disorder , 2016, International Journal of Bipolar Disorders.
[14] Nickeva Jones,et al. Ethical guidelines for mobile app development within health and mental health fields. , 2016 .
[15] Patty Kostkova,et al. Who Owns the Data? Open Data for Healthcare , 2016, Front. Public Health.
[16] S. Rauch,et al. Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health , 2016, Neuropsychopharmacology.
[17] Tjeerd W. Boonstra,et al. Mapping dynamic social networks in real life using participants' own smartphones , 2015, Heliyon.
[18] Tjeerd W. Boonstra,et al. Using Bluetooth Low Energy in smartphones to map social networks , 2015, ArXiv.
[19] Konrad Paul Kording,et al. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study , 2015, Journal of medical Internet research.
[20] Brian A. Nosek,et al. Promoting an open research culture , 2015, Science.
[21] Patrick C. Staples,et al. Realizing the Potential of Mobile Mental Health: New Methods for New Data in Psychiatry , 2015, Current Psychiatry Reports.
[22] Mark A. Rothstein,et al. Ethical Issues in Big Data Health Research: Currents in Contemporary Bioethics , 2015, Journal of Law, Medicine & Ethics.
[23] Andrew T. Campbell,et al. Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health. , 2015, Psychiatric rehabilitation journal.
[24] Michel Bierlaire,et al. Probabilistic Multimodal Map Matching With Rich Smartphone Data , 2015, J. Intell. Transp. Syst..
[25] Tobias Dehling,et al. Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android , 2015, JMIR mHealth and uHealth.
[26] L. Yardley,et al. The Person-Based Approach to Intervention Development: Application to Digital Health-Related Behavior Change Interventions , 2015, Journal of medical Internet research.
[27] Mark C. Pachucki,et al. Mental health and social networks in early adolescence: a dynamic study of objectively-measured social interaction behaviors. , 2015, Social science & medicine.
[28] Tasha Glenn,et al. New Measures of Mental State and Behavior Based on Data Collected From Sensors, Smartphones, and the Internet , 2014, Current Psychiatry Reports.
[29] Zinaida Benenson,et al. Differences between Android and iPhone Users in Their Security and Privacy Awareness , 2014, TrustBus.
[30] Erica K. Yuen,et al. mHealth: a mechanism to deliver more accessible, more effective mental health care. , 2014, Clinical psychology & psychotherapy.
[31] Mark Begale,et al. Purple: A Modular System for Developing and Deploying Behavioral Intervention Technologies , 2014, Journal of medical Internet research.
[32] Adriano J. C. Moreira,et al. Energy consumption in personal mobile devices sensing applications , 2014, 2014 7th IFIP Wireless and Mobile Networking Conference (WMNC).
[33] Brian A. Nosek,et al. Registered Reports A Method to Increase the Credibility of Published Results , 2014 .
[34] Piotr Sapiezynski,et al. Measuring Large-Scale Social Networks with High Resolution , 2014, PloS one.
[35] Janet A. Schmidt,et al. Preliminary evaluation of PTSD Coach, a smartphone app for post-traumatic stress symptoms. , 2014, Military medicine.
[36] Mark Andrejevic,et al. The big data divide , 2014 .
[37] Nandita Mitra,et al. Public preferences about secondary uses of electronic health information. , 2013, JAMA internal medicine.
[38] D. Mohr,et al. Behavioral intervention technologies: evidence review and recommendations for future research in mental health. , 2013, General hospital psychiatry.
[39] E. Larson,et al. Building trust in the power of "big data" research to serve the public good. , 2013, JAMA.
[40] Roger Clarke,et al. Big Data's Big Unintended Consequences , 2013, Computer.
[41] Lucy Yardley,et al. Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study , 2013, Journal of medical Internet research.
[42] César A. Hidalgo,et al. Unique in the Crowd: The privacy bounds of human mobility , 2013, Scientific Reports.
[43] Andrew T. Campbell,et al. BeWell+: multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization , 2012, Wireless Health.
[44] Jakob E. Bardram,et al. The MONARCA self-assessment system: a persuasive personal monitoring system for bipolar patients , 2012, IHI '12.
[45] Cecilia Mascolo,et al. A Tale of Many Cities: Universal Patterns in Human Urban Mobility , 2011, PloS one.
[46] N. Clemens,et al. Privacy, consent, and the electronic mental health record: The Person vs. the System. , 2012, Journal of psychiatric practice.
[47] Joseph A. Cafazzo,et al. mHealth consumer apps: the case for user-centered design. , 2012, Biomedical instrumentation & technology.
[48] Daniel Gatica-Perez,et al. Human interaction discovery in smartphone proximity networks , 2013, Personal and Ubiquitous Computing.
[49] Daniel Gatica-Perez,et al. Smartphone usage in the wild: a large-scale analysis of applications and context , 2011, ICMI '11.
[50] Leif D. Nelson,et al. False-Positive Psychology , 2011, Psychological science.
[51] D. Mohr,et al. Harnessing Context Sensing to Develop a Mobile Intervention for Depression , 2011, Journal of medical Internet research.
[52] Daniel Gatica-Perez,et al. Discovering places of interest in everyday life from smartphone data , 2011, Multimedia Tools and Applications.
[53] G. Parker,et al. Community Attitudes to the Appropriation of Mobile Phones for Monitoring and Managing Depression, Anxiety, and Stress , 2010, Journal of medical Internet research.
[54] Helen Christensen,et al. Systematic review of school-based prevention and early intervention programs for depression. , 2010, Journal of adolescence.
[55] Albert-László Barabási,et al. Limits of Predictability in Human Mobility , 2010, Science.
[56] David Lazer,et al. Inferring friendship network structure by using mobile phone data , 2009, Proceedings of the National Academy of Sciences.
[57] W. Katon,et al. The longitudinal effects of depression on physical activity. , 2009, General hospital psychiatry.
[58] Yi Wang,et al. A framework of energy efficient mobile sensing for automatic user state recognition , 2009, MobiSys '09.
[59] D. Lazer,et al. Using reality mining to improve public health and medicine. , 2009, Studies in health technology and informatics.
[60] Jo Salmon,et al. Physical activity and likelihood of depression in adults: a review. , 2008, Preventive medicine.
[61] George Demiris,et al. User-centered methods for designing patient-centric self-help tools , 2008, Informatics for health & social care.
[62] William H. Press,et al. Numerical Recipes 3rd Edition: The Art of Scientific Computing , 2007 .
[63] L. Hawkley,et al. Loneliness as a specific risk factor for depressive symptoms: cross-sectional and longitudinal analyses. , 2006, Psychology and aging.
[64] D. Kupfer,et al. Lifestyle regularity and activity level as protective factors against bereavement-related depression in late-life , 1995 .
[65] K. Campbell,et al. Name generators in surveys of personal networks , 1991 .
[66] I. Gotlib,et al. Psychosocial functioning and depression: distinguishing among antecedents, concomitants, and consequences. , 1988, Psychological bulletin.
[67] W. Cleveland. Robust Locally Weighted Regression and Smoothing Scatterplots , 1979 .