Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study.

Junghwan Park Gregory J Norman Predrag Klasnja Daniel E Rivera Eric B Hekler

Published in: JMIR mHealth and uHealth (2023)

Walking behavior prediction models were developed and validated. MLP showed the highest overall performance of all attempted algorithms. A random search for optimal layer structure is a promising approach for prediction engine development. Future studies can test the real-world application of this algorithm in a "smart" intervention for promoting physical activity.

Keyphrases

machine learning
deep learning
physical activity
randomized controlled trial
current status
body mass index
lower limb
depressive symptoms
neural network
case control