Literature References on the Application of Reinforcement Learning (RL) in Healthcare and the Deployment of Just-in-Time Adaptive Interventions (JITAIs)
- 2023 - Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues - [Survey Paper]
- 2022 - Modeling Mobile Health Users as Reinforcement Learning Agents - [Paper]
- 2022 - Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines - [Paper]
- 2020 - Reinforcement learning for intelligent healthcare applications: A survey - [Survey Paper]
- 2020 - Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity - [Paper]
- 2017 - Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System - [Paper]
- 2015 - MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones - [Paper]
- 2014 - PopTherapy: coping with stress through pop-culture - [Paper]
- 2023 - A Randomized Trial of A Mobile Health Intervention to Augment Cardiac Rehabilitation - [Paper]
- 2023 - The Engagement Problem: a Review of Engagement with Digital Mental Health Interventions and Recommendations for a Path Forward - [Paper]
- 2023 - Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions - [Paper]
- 2021 - Sense2Stop: A micro-randomized trial using wearable sensors to optimize a just-in-time-adaptive stress management intervention for smoking relapse prevention - [Paper]
- 2021 - Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study - [Paper]