Articles published in 2019 in this theme: 16 (scroll down to load remaining articles)
2019
Objectively Monitoring Amyotrophic Lateral Sclerosis Patient Symptoms During Clinical Trials With Sensors: Observational Study
JMIR Mhealth Uhealth 2019 (Dec 20); 7(12):e13433
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How New Technologies Can Improve Prediction, Assessment, and Intervention in Obsessive-Compulsive Disorder (e-OCD): Review
JMIR Ment Health 2019 (Dec 10); 6(12):e11643
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Wearable Technology for High-Frequency Cognitive and Mood Assessment in Major Depressive Disorder: Longitudinal Observational Study
JMIR Ment Health 2019 (Nov 18); 6(11):e12814
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Public Opinions on Using Social Media Content to Identify Users With Depression and Target Mental Health Care Advertising: Mixed Methods Survey
JMIR Ment Health 2019 (Nov 13); 6(11):e12942
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Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone
JMIR Mhealth Uhealth 2019 (Oct 16); 7(10):e14149
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Validation of an mHealth App for Depression Screening and Monitoring (Psychologist in a Pocket): Correlational Study and Concurrence Analysis
JMIR Mhealth Uhealth 2019 (Sep 16); 7(9):e12051
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Psychiatry Outpatients’ Willingness to Share Social Media Posts and Smartphone Data for Research and Clinical Purposes: Survey Study
JMIR Form Res 2019 (Sep 06); 3(3):e14329
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Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review
J Med Internet Res 2019 (Aug 30); 21(8):e12785
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Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations
JMIR Mhealth Uhealth 2019 (Aug 23); 7(8):e12649
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Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data
JMIR Mhealth Uhealth 2019 (Jul 24); 7(7):e13209
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Functional Magnetic Resonance Imaging Biomarkers Predicting Cognitive Progression in Parkinson Disease: Protocol for a Prospective Longitudinal Cohort Study
JMIR Res Protoc 2019 (Apr 29); 8(4):e12870
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The Potential of Game-Based Digital Biomarkers for Modeling Mental Health
JMIR Ment Health 2019 (Apr 23); 6(4):e13485
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Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study
J Med Internet Res 2019 (Apr 17); 21(4):e11029
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Identification of Motor Symptoms Related to Parkinson Disease Using Motion-Tracking Sensors at Home (KÄVELI): Protocol for an Observational Case-Control Study
JMIR Res Protoc 2019 (Mar 27); 8(3):e12808
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Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle
JMIR Mhealth Uhealth 2019 (Mar 26); 7(3):e12171
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Middle-Aged Men With HIV Have Diminished Accelerometry-Based Activity Profiles Despite Similar Lab-Measured Gait Speed: Pilot Study
JMIR Mhealth Uhealth 2019 (Feb 01); 7(2):e11190
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