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JMIR Mhealth and Uhealth|May 28, 2020
Mobile Delivery of the Diabetes Prevention Program in People With Prediabetes: Randomized Controlled TrialTatiana Toro-Ramos, Andreas Michaelides, Maria Anton, et al.JMIR Mhealth and Uhealth|May 28, 2020
Privacy Assessment in Mobile Health Apps: Scoping ReviewJaime Benjumea, Jorge Ropero, Octavio Rivera-Romero, et al.JMIR Mhealth and Uhealth|May 28, 2020
Intra-Rater and Inter-Rater Reliability of Tongue Coating Diagnosis in Traditional Chinese Medicine Using Smartphones: Quasi-Delphi StudyZhi Chun Wang, Shi Ping Zhang, Pong Chi Yuen, et al.JMIR Mhealth and Uhealth|May 28, 2020
Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled TrialsKaifeng Liu, Zhenzhen Xie, Calvin Kalun OrJMIR Mhealth and Uhealth|May 20, 2020
Use of the Healthy Lifestyle Coaching Chatbot App to Promote Stair-Climbing Habits Among Office Workers: Exploratory Randomized Controlled TrialMeihua Piao, Hyeongju Ryu, Hyeongsuk Lee, et al.JMIR Mhealth and Uhealth|May 20, 2020
Mobile App for Symptom Management and Associated Quality of Life During Systemic Treatment in Early Stage Breast Cancer: Nonrandomized Controlled Prospective Cohort StudyCvetka Grašič Kuhar, Tjaša Gortnar Cepeda, Timotej Kovač, et al.JMIR Mhealth and Uhealth|May 21, 2020
Midwives' Attitudes Toward and Experience With a Tablet Intervention to Promote Safety Behaviors for Pregnant Women Reporting Intimate Partner Violence: Qualitative StudyLisa Garnweidner-Holme, Lena Henriksen, Eva Marie Flaathen, et al.JMIR Mhealth and Uhealth|May 14, 2020
A Mobile Health App for the Collection of Functional Outcomes After Inpatient Stroke Rehabilitation: Pilot Randomized Controlled TrialLi Li, Jia Huang, Jingsong Wu, et al.JMIR Mhealth and Uhealth|June 3, 2020
Promoting Antenatal Care Attendance Through a Text Messaging Intervention in Samoa: Quasi-Experimental StudyJessica L Watterson, Diego Castaneda, Caricia CatalaniJMIR Mhealth and Uhealth|August 2, 2022
Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and ValidationAda Ng, Boyang Wei, Jayalakshmi Jain, et al.Pageof 316