Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone
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Title
Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone
Authors
Keywords
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Journal
JMIR mHealth and uHealth
Volume 7, Issue 10, Pages e14149
Publisher
JMIR Publications Inc.
Online
2019-10-16
DOI
10.2196/14149
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Note: Only part of the references are listed.- Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study
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- From eHealth to iHealth: Transition to Participatory and Personalized Medicine in Mental Health
- (2018) Sofian Berrouiguet et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- DeLight: biofeedback through ambient light for stress intervention and relaxation assistance
- (2018) Bin Yu et al. Personal and Ubiquitous Computing
- The intra-day dynamics of affect, self-esteem, tiredness, and suicidality in Major Depression
- (2018) Eimear Crowe et al. PSYCHIATRY RESEARCH
- Health behaviors influencing depressive symptoms in older Koreans living alone: secondary data analysis of the 2014 Korean longitudinal study of aging
- (2018) Heejung Kim et al. BMC Geriatrics
- Talking about depression during interactions with GPs: a qualitative study exploring older people’s accounts of their depression narratives
- (2018) Isabel Gordon et al. BMC Family Practice
- Depression and sleep duration: findings from middle-aged and elderly people in China
- (2018) Peng Ouyang et al. PUBLIC HEALTH
- Real-time Mobile Monitoring of the Dynamic Associations Among Motor Activity, Energy, Mood, and Sleep in Adults With Bipolar Disorder
- (2018) Kathleen Ries Merikangas et al. JAMA Psychiatry
- Assessment of late-life depression via self-report measures: a review
- (2018) Balsamo Michela et al. Clinical Interventions in Aging
- Digital Phenotyping
- (2017) Thomas R. Insel JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Physical activity and sedentary behavior in people with major depressive disorder: A systematic review and meta-analysis
- (2017) Felipe Schuch et al. JOURNAL OF AFFECTIVE DISORDERS
- Effects of Exercise Interventions on Depressive Symptoms Among Community-Dwelling Older Adults in the United States: A Systematic Review
- (2017) Jin Young Seo et al. Journal of Gerontological Nursing
- Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study
- (2017) Qijin Cheng et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Daily minority stress and affect among gay and bisexual men: A 30-day diary study
- (2016) Adam I. Eldahan et al. JOURNAL OF AFFECTIVE DISORDERS
- Do Somatic Symptoms Predict the Severity of Depression? A Validation Study of the Korean Version of the Depression and Somatic Symptoms Scale
- (2016) Sang Won Jeon et al. JOURNAL OF KOREAN MEDICAL SCIENCE
- Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View
- (2016) Wei Luo et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015
- (2016) Theo Vos et al. LANCET
- Repeated self-evaluations may involve familiarization: An exploratory study related to Ecological Momentary Assessment designs in patients with major depressive disorder
- (2016) Hugo Vachon et al. PSYCHIATRY RESEARCH
- Why stay home? Temporal association of pain, fatigue and depression with being at home
- (2016) Craig Ravesloot et al. Disability and Health Journal
- Comparison of Non-Invasive Individual Monitoring of the Training and Health of Athletes with Commercially Available Wearable Technologies
- (2016) Peter Düking et al. Frontiers in Physiology
- Sleep Quality Prediction From Wearable Data Using Deep Learning
- (2016) Aarti Sathyanarayana et al. JMIR mHealth and uHealth
- Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild
- (2016) Fabian Wahle et al. JMIR mHealth and uHealth
- Depression and Associated Factors in the Elderly Cadres in Fuzhou, China: A Community-based Study
- (2015) Lan Cong et al. International Journal of Gerontology
- Sleep correlates of depression and anxiety in an elderly Asian population
- (2015) Junhong Yu et al. Psychogeriatrics
- Sleep correlates of depression and anxiety in an elderly Asian population
- (2015) Junhong Yu et al. Psychogeriatrics
- Physical (in)activity and depression in older people
- (2014) Sanne Wassink-Vossen et al. JOURNAL OF AFFECTIVE DISORDERS
- New Measures of Mental State and Behavior Based on Data Collected From Sensors, Smartphones, and the Internet
- (2014) Tasha Glenn et al. Current Psychiatry Reports
- Daily life functioning of community-dwelling elderly couples: an investigation of the feasibility and validity of Ecological Momentary Assessment
- (2013) Laetitia Rullier et al. INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH
- Severity classification on the Hamilton depression rating scale
- (2013) Mark Zimmerman et al. JOURNAL OF AFFECTIVE DISORDERS
- Activity monitoring in patients with depression: A systematic review
- (2012) Christopher Burton et al. JOURNAL OF AFFECTIVE DISORDERS
- The role and validity of actigraphy in sleep medicine: An update
- (2011) Avi Sadeh SLEEP MEDICINE REVIEWS
- Attitudes toward mental health services: Age-group differences in Korean American adults
- (2009) Yuri Jang et al. AGING & MENTAL HEALTH
- Daily and Seasonal Variation in the Spectral Composition of Light Exposure in Humans
- (2009) Helen C. Thorne et al. CHRONOBIOLOGY INTERNATIONAL
- Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors
- (2009) S. Patel et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Ecological momentary assessment in aging research: A critical review
- (2009) Ashley E. Cain et al. JOURNAL OF PSYCHIATRIC RESEARCH
- Ecological Momentary Assessment
- (2007) Saul Shiffman et al. Annual Review of Clinical Psychology
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