scholarly journals Personalized Policy Learning Using Longitudinal Mobile Health Data

Author(s):  
Xinyu Hu ◽  
Min Qian ◽  
Bin Cheng ◽  
Ying Kuen Cheung
Author(s):  
Xiaohang Xu ◽  
Hao Peng ◽  
Md Zakirul Alam Bhuiyan ◽  
Zhifeng Hao ◽  
Lianzhong Liu ◽  
...  

2020 ◽  
Vol 5 ◽  
pp. 100054
Author(s):  
Marriette Katarahweire ◽  
Engineer Bainomugisha ◽  
Khalid A. Mughal

2020 ◽  
Vol 21 ◽  
pp. 1-8
Author(s):  
Shuang Li ◽  
Alexandra M. Psihogios ◽  
Elise R. McKelvey ◽  
Annisa Ahmed ◽  
Mashfiqui Rabbi ◽  
...  

GeroPsych ◽  
2018 ◽  
Vol 31 (1) ◽  
pp. 41-49 ◽  
Author(s):  
Alexander Seifert ◽  
Markus Christen ◽  
Mike Martin

Abstract. This study explored the use of wearable devices to track self-recorded health data and the willingness to share this data with researchers. Participants aged ≥ 50 years (n = 1,013) were interviewed in a representative telephone survey. Results indicated that 43.3% of all participants used one or more mobile devices (activity tracker, smartwatch, smartphone, or tablet), and that 27.6% used those devices for the purposes of recording health data. Additionally, 57.2% of the participants who tracked their health data were willing to share it with researchers. Income significantly contributed to predicting this willingness, whereas other independent variables were not significant predictors. This study indicates a relatively positive overall willingness to share self-recorded mobile health data with the science community.


2015 ◽  
Vol 19 (2) ◽  
pp. 761-772 ◽  
Author(s):  
Marcos A. Simplicio ◽  
Leonardo H. Iwaya ◽  
Bruno M. Barros ◽  
Tereza C. M. B. Carvalho ◽  
Mats Naslund

2015 ◽  
Vol 68 (1) ◽  
pp. 80-86 ◽  
Author(s):  
Araya Abrha Medhanyie ◽  
Albine Moser ◽  
Mark Spigt ◽  
Henock Yebyo ◽  
Alex Little ◽  
...  

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