An expandable approach for design and personalization of digital, just-in-time adaptive interventions

2019-03-01
Gonul, Suat
Namli, Tuncay
Huisman, Sasja
Erturkmen, Gokce Banu Laleci
Toroslu, İsmail Hakkı
Coşar, Ahmet
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Objective: We aim to deliver a framework with 2 main objectives: 1) facilitating the design of theory-driven, adaptive, digital interventions addressing chronic illnesses or health problems and 2) producing personalized intervention delivery strategies to support self-management by optimizing various intervention components tailored to people's individual needs, momentary contexts, and psychosocial variables.
Just-in-time adaptive interventions, Personalized intervention delivery, Reinforcement learning, Digital intervention design, M-health
https://hdl.handle.net/11511/30150
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
Graduate School of Natural and Applied Sciences, Article

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Citation Formats
S. Gonul, T. Namli, S. Huisman, G. B. L. Erturkmen, İ. H. Toroslu, and A. Coşar, “An expandable approach for design and personalization of digital, just-in-time adaptive interventions,” JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, pp. 198–210, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30150.
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