A deep learning-based early prediction framework for weight management using real-world lifelog data: GRU–ODE–Bayes model development and validation study

The proposed model predicted early outcomes in weight management and might contribute to developing effective intervention methods for participants at risk of failure and reducing the burden of frequent self-reporting.

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Publication Details

Journal
Digital Health
Published
2025-04-01
DOI
https://doi.org/10.1177/20552076251406656
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

A deep learning-based early prediction framework for weight management using real-world lifelog data: GRU–ODE–Bayes model development and validation study

Sang Youl Rhee, Yera Choi, Haanju Yoo, Sunyoung Kim et al.
Digital Health
Mobile Health and mHealth Applications
article

A deep learning-based early prediction framework for weight management using real-world lifelog data: GRU–ODE–Bayes model development and validation study

Sang Youl Rhee, Yera Choi, Haanju Yoo, Sunyoung Kim, Hyunji Sang
article en

Abstract

The proposed model predicted early outcomes in weight management and might contribute to developing effective intervention methods for participants at risk of failure and reducing the burden of frequent self-reporting.

Digital HealthVol. 11
Kyung Hee University (KR), Naver (South Korea) (KR)
Openalex Percentile: Top 23%
Mobile Health and mHealth Applications
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