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Understanding Smart Home Sensor Data for Ageing in Place Through Everyday Household Routines: A Mixed Method Case Study

Understanding Smart Home Sensor Data for Ageing in Place Through Everyday Household Routines: A Mixed Method Case Study

Elizabeth, a widowed housewife, is very busy but has a regular routine. Elizabeth attends bridge club 3 times a week. She also meets up with her daughter at least once a week. At home, she is very busy cooking and housekeeping.

Yasmin van Kasteren, Dana Bradford, Qing Zhang, Mohan Karunanithi, Hang Ding

JMIR Mhealth Uhealth 2017;5(6):e52


Implementing mHealth Apps for Child Developmental Screenings: Opportunities and Challenges

Implementing mHealth Apps for Child Developmental Screenings: Opportunities and Challenges

States2School of MedicineIndiana UniversityIndianapolis, INUnited States3BabyNogginSan Francisco, CAUnited StatesCorresponding Author: Andrew Miller andrewm@iupui.eduJul-Dec20181709201842e117872820182982018©Andrew Miller, Katie Swec, Sarah Watkins, Elizabeth

Andrew Miller, Katie Swec, Sarah Watkins, Elizabeth Chen, Alison Paul, Jordan Huskins, Jin Lee, Nerissa Bauer

iproc 2018;4(2):e11787


Experiences of African American Breast Cancer Survivors Using Digital Scales and Activity Trackers in a Weight Gain Prevention Intervention: Qualitative Study

Experiences of African American Breast Cancer Survivors Using Digital Scales and Activity Trackers in a Weight Gain Prevention Intervention: Qualitative Study

WELL Body allowed Elizabeth, age 45 (5 years since diagnosis), to exert control over her weight, which she believed would decrease the likelihood of cancer recurrence and increase her chances of survival:I am very determined to survive for as long as I can…

Julianne M Power, Deborah F Tate, Carmina G Valle

JMIR Mhealth Uhealth 2020;8(6):e16059


Measurement Properties of the Online EuroQol-5D-Youth Instrument in Children and Adolescents With Type 1 Diabetes Mellitus: Questionnaire Study

Measurement Properties of the Online EuroQol-5D-Youth Instrument in Children and Adolescents With Type 1 Diabetes Mellitus: Questionnaire Study

There are several studies assessing the metric properties of the EQ-5D-Y in the general population [11,12] or in school environments [13-16]. A Swedish study [12] suggested that the EQ-5D-Y was comprehensible, acceptable, and feasible for self-completion.

Karina Mayoral, Luis Rajmil, Marta Murillo, Olatz Garin, Angels Pont, Jordi Alonso, Joan Bel, Jacobo Perez, Raquel Corripio, Gemma Carreras, Javier Herrero, Jose-Maria Mengibar, Dolors Rodriguez-Arjona, Ulrike Ravens-Sieberer, Hein Raat, Vicky Serra-Sutton, Montse Ferrer

J Med Internet Res 2019;21(11):e14947


Detecting Potential Adverse Drug Reactions Using a Deep Neural Network Model

Detecting Potential Adverse Drug Reactions Using a Deep Neural Network Model

Wang et al [15] developed a model for identifying ADRs using data mining to extract information from millions of EMRs.

Chi-Shiang Wang, Pei-Ju Lin, Ching-Lan Cheng, Shu-Hua Tai, Yea-Huei Kao Yang, Jung-Hsien Chiang

J Med Internet Res 2019;21(2):e11016