A Machine-Learning Based Approach for Predicting Older Adults’ Adherence to Technology-Based Cognitive Training

作者：

Highlights：

• We build accurate machine learning models to predict participants’ adherence to a technology-based cognitive training program.

• We identify factors that are predictive of a participant's overall adherence and weekly adherence to the training program.

• The resulting prediction models can inform the development of just-in-time adaptive reminder systems to promote training adherence.

摘要

•We build accurate machine learning models to predict participants’ adherence to a technology-based cognitive training program.•We identify factors that are predictive of a participant's overall adherence and weekly adherence to the training program.•The resulting prediction models can inform the development of just-in-time adaptive reminder systems to promote training adherence.

论文关键词：Cognitive training,Machine learning,Adherence prediction,Just-in-time intervention

论文评审过程：Received 31 January 2022, Revised 12 July 2022, Accepted 14 July 2022, Available online 21 July 2022, Version of Record 21 July 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.103034