Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study.
Hongwook KwonHo Heon KimJae Il AnJae-Ho LeeYu-Rang ParkPublished in: Journal of medical Internet research (2021)
The model with a recurrent neural network architecture that used log data and message data demonstrated high performance for churn classification. Additionally, the analysis of the contribution of the variables is expected to help identify signs of user churn in advance and improve the adherence in digital health care.