Machine-learning model predicting quality of life using multifaceted lifestyles in middle-aged South Korean adults: a cross-sectional study

Machine-learning model predicting quality of life using multifaceted lifestyles in middle-aged South Korean adults: a cross-sectional study

Abstract Background In the context of population aging, advances in healthcare technology, and growing interest in healthy aging and higher quality of life (QOL), have gained central focus in public health, particularly among middle-aged adults. Methods This study presented an optimal prediction mod...

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Bibliographic Details
Main Authors: Junho Kim, Kyoungsik Jeong, Siwoo Lee, Younghwa Baek
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Public Health
Subjects:
Quality of life
Lifestyles
Prediction
Machine learning
Middle-aged
Online Access:https://doi.org/10.1186/s12889-023-17457-y

Internet

https://doi.org/10.1186/s12889-023-17457-y

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