E-LIB Suche - Ergebnisse für: Rabbi, Mashfiqui

1

Optimizing mHealth Interventions with a Bandit:

, In: Studies in Neuroscience, Psychology and Behavioral Economics; Digital Phenotyping and Mobile Sensing,

Rabbi, Mashfiqui ; Klasnja, Predrag ; Choudhury, Tanzeem.. - p. 365-378 , 2022

Link: https://doi.org/10.1007/..

2

The microrandomized trial for developing digital interventi..:

Qian, Tianchen ; Walton, Ashley E. ; Collins, Linda M....
Psychological Methods. 27 (2022) 5 - p. 874-894 , 2022

Link: https://doi.org/10.1037/..

3

Translating strategies for promoting engagement in mobile h..:

Nahum-Shani, Inbal ; Rabbi, Mashfiqui ; Yap, Jamie...
Health Psychology. 40 (2021) 12 - p. 974-987 , 2021

Link: https://doi.org/10.1037/..

4

Developing an Adaptive Mobile Intervention to Address Risky..:

Coughlin, Lara N ; Nahum-Shani, Inbal ; Philyaw-Kotov, Meredith L...
JMIR mHealth and uHealth. 9 (2021) 1 - p. e24424 , 2021

Link: https://doi.org/10.2196/..

5

Understanding the Social Determinants of Mental Health of U..:

Bhattacharjee, Ananya ; Haque, S M Taiabul ; Hady, Md Abdul...
JMIR Formative Research. 5 (2021) 11 - p. e27114 , 2021

Link: https://doi.org/10.2196/..

6

Understanding Adolescent and Young Adult 6-Mercaptopurine A..:

Psihogios, Alexandra M ; Rabbi, Mashfiqui ; Ahmed, Annisa...
JMIR Research Protocols. 10 (2021) 10 - p. e32789 , 2021

Link: https://doi.org/10.2196/..

7

Microrandomized trials for promoting engagement in mobile h..:

Li, Shuang ; Psihogios, Alexandra M. ; McKelvey, Elise R....
Current Opinion in Systems Biology. 21 (2020) - p. 1-8 , 2020

Link: https://doi.org/10.1016/..

8

ReVibe: A Context-assisted Evening Recall Approach to Impro..:

Rabbi, Mashfiqui ; Li, Katherine ; Yan, H. Yanna...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3 (2019) 4 - p. 1-27 , 2019

Link: https://doi.org/10.1145/..

9

ReVibe : A Context-assisted Evening Recall Approach to I..:

Rabbi, Mashfiqui ; Li, Katherine ; Yan, H. Yanna...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3 (2019) 4 - p. 1-27 , 2019

Link: https://dl.acm.org/doi/1..

10

Artificial intelligence decision-making in mobile health:

Menictas, Marianne ; Rabbi, Mashfiqui ; Klasnja, Predrag.
The Biochemist. 41 (2019) 5 - p. 20-24 , 2019

Link: https://doi.org/10.1042/..

11

Optimizing mHealth Interventions with a Bandit:

, In: Studies in Neuroscience, Psychology and Behavioral Economics; Digital Phenotyping and Mobile Sensing,

Rabbi, Mashfiqui ; Klasnja, Predrag ; Choudhury, Tanzeem.. - p. 277-291 , 2019

Link: https://doi.org/10.1007/..

12

Toward Increasing Engagement in Substance Use Data Collecti..:

Rabbi, Mashfiqui ; Philyaw Kotov, Meredith ; Cunningham, Rebecca...
JMIR Research Protocols. 7 (2018) 7 - p. e166 , 2018

Link: https://doi.org/10.2196/..

13

SARA : a mobile app to engage users in health data colle..:

, In: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers,

Rabbi, Mashfiqui ; Philyaw-Kotov, Meredith ; Lee, Jinseok... - p. 781-789 , 2017

Link: https://dl.acm.org/doi/1..

14

Semi-Automated Tracking: A Balanced Approach for Self-Monit..:

Choe, Eun Kyoung ; Abdullah, Saeed ; Rabbi, Mashfiqui...
IEEE Pervasive Computing. 16 (2017) 1 - p. 74-84 , 2017

Link: https://doi.org/10.1109/..

15

Automated Personalized Feedback for Physical Activity and D..:

Rabbi, Mashfiqui ; Pfammatter, Angela ; Zhang, Mi..
JMIR mHealth and uHealth. 3 (2015) 2 - p. e42 , 2015

Link: https://doi.org/10.2196/..