Automated Personalized Goal Setting for Individual Exercise Behavior: Protocol for a Web-Based Adaptive Intervention Trial.

ABSTRACT:

Background

The incidence of chronic diseases associated with physical inactivity is on the rise, being one of the leading risk-increasing factors for early death rates throughout the world. Often, physical activity interventions fail to deliver sustained adherence over time due to limiting tailoring to individual baseline characteristics, leaving out contextual changes over time. One solution for this issue may be the use of adaptive interventions relying on contextual multiarmed bandits, a type of reinforcement learning algorithm, that can use baseline and contextual individual data to personalize aspects of the intervention, such as developing personalized workout plans.

Objective

The main objectives of this study are (1) to determine the effectiveness of contextual bandit

SUBMITTER: Caro JC 

PROVIDER: S-EPMC12658392 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature