Predicting Adherence to Behavior Change Support Systems Using Machine Learning: Systematic Review.

Akon Obu Ekpezu Isaac Wiafe Harri Oinas-Kukkonen

Published in: JMIR AI (2023)

Using machine learning algorithms to predict the adherence behavior of a BCSS user can facilitate the reinforcement of adherence behavior. This can be achieved by developing intelligent BCSSs that can provide users with more personalized, tailored, and timely suggestions.

Keyphrases

systematic review
machine learning
meta analyses
glycemic control
type diabetes
deep learning
randomized controlled trial
metabolic syndrome
adipose tissue