Understanding Time Series Patterns of Weight and Meal History Reports in Mobile Weight Loss Intervention Programs: Data-Driven Analysis
BackgroundMobile apps for weight loss provide users with convenient features for recording lifestyle and health indicators; they have been widely used for weight loss recently. Previous studies in this field generally focused on the relationship between the cumulative nature of self-reported data an...
Saved in:
Main Authors: | Kim, Junetae (Author), Kam, Hye Jin (Author), Kim, Youngin (Author), Lee, Yura (Author), Lee, Jae-Ho (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2020-08-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Weight Loss Trajectories and Related Factors in a 16-Week Mobile Obesity Intervention Program: Retrospective Observational Study
by: Ho Heon Kim, et al.
Published: (2022) -
Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care Providers
by: Lee, Yura, et al.
Published: (2017) -
The Relationship Between Weight Loss Outcomes and Engagement in a Mobile Behavioral Change Intervention: Retrospective Analysis
by: Alissa Carey, et al.
Published: (2021) -
Weight Loss Associated With Different Patterns of Self-Monitoring Using the Mobile Phone App My Meal Mate
by: Carter, Michelle C, et al.
Published: (2017) -
Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study
by: Kim, Ho Heon, et al.
Published: (2021)