Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study
Authors
Keywords
-
Journal
JMIR mHealth and uHealth
Volume 7, Issue 1, Pages e11041
Publisher
JMIR Publications Inc.
Online
2018-11-25
DOI
10.2196/11041
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
- An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study
- (2018) Becky Inkster et al. JMIR mHealth and uHealth
- Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders
- (2017) Skyler Place et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Frequency and risk factors of depression in type 1 diabetes in a developing country
- (2017) Doaa Khater et al. JOURNAL OF PEDIATRIC ENDOCRINOLOGY & METABOLISM
- National Rates and Patterns of Depression Screening in Primary Care: Results From 2012 and 2013
- (2017) Ayse Akincigil et al. PSYCHIATRIC SERVICES
- Well-Being Tracking via Smartphone-Measured Activity and Sleep: Cohort Study
- (2017) Orianna DeMasi et al. JMIR mHealth and uHealth
- Trends in Costs of Depression in Adults with Diabetes in the United States: Medical Expenditure Panel Survey, 2004–2011
- (2016) Leonard E. Egede et al. JOURNAL OF GENERAL INTERNAL MEDICINE
- Prevalence and treatment coverage for depression: a population-based survey in Vidarbha, India
- (2016) Rahul Shidhaye et al. SOCIAL PSYCHIATRY AND PSYCHIATRIC EPIDEMIOLOGY
- 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 Effect of a Diabetes-Specific Cognitive Behavioral Treatment Program (DIAMOS) for Patients With Diabetes and Subclinical Depression: Results of a Randomized Controlled Trial
- (2015) Norbert Hermanns et al. DIABETES CARE
- Smartphones in Mental Health: Detecting Depressive and Manic Episodes
- (2015) Venet Osmani IEEE PERVASIVE COMPUTING
- Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study
- (2015) Sohrab Saeb et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Predicting Depression among Patients with Diabetes Using Longitudinal Data
- (2015) H. Jin et al. METHODS OF INFORMATION IN MEDICINE
- Development of a Clinical Forecasting Model to Predict Comorbid Depression Among Diabetes Patients and an Application in Depression Screening Policy Making
- (2015) Haomiao Jin et al. Preventing Chronic Disease
- Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomised controlled trial
- (2014) Liam G Glynn et al. BRITISH JOURNAL OF GENERAL PRACTICE
- Smartphone Ownership and Interest in Mobile Applications to Monitor Symptoms of Mental Health Conditions
- (2014) John Torous et al. JMIR mHealth and uHealth
- Standardization of the depression screener Patient Health Questionnaire (PHQ-9) in the general population
- (2013) Rüya-Daniela Kocalevent et al. GENERAL HOSPITAL PSYCHIATRY
- To test or not to test: Preliminary assessment of normality when comparing two independent samples
- (2012) Justine Rochon et al. BMC Medical Research Methodology
- Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis
- (2011) L. Manea et al. CANADIAN MEDICAL ASSOCIATION JOURNAL
- Type 2 diabetes mellitus as a risk factor for the onset of depression: a systematic review and meta-analysis
- (2010) A. Nouwen et al. DIABETOLOGIA
- Diabetes in Primary Care: Prospective Associations between Depression, Nonadherence and Glycemic Control
- (2010) Jörg Dirmaier et al. PSYCHOTHERAPY AND PSYCHOSOMATICS
- Depressive symptoms are associated with physical inactivity in patients with type 2 diabetes. The DIAZOB Primary Care Diabetes study
- (2009) B. Koopmans et al. FAMILY PRACTICE
- Depression and Diabetes Treatment Nonadherence: A Meta-Analysis
- (2008) J. S. Gonzalez et al. DIABETES CARE
- Examining a Bidirectional Association Between Depressive Symptoms and Diabetes
- (2008) Sherita Hill Golden JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now