Evaluating sleep patterns and intrinsic capacity with machine learning: Results from the Gan-Dau healthy longevity plan.

Kuan-Yu Peng, Wei-Ju Lee, Heng-Hsin Tung, Shih-Tsung Huang, Su-Yu Chang, Hsiu-Ling Chung, Hsiao-Chien Yeh, Wen-Huey Tsai, Shin-Shang Chou, Fei-Yuan Hsiao

Taiwan Semiconductor Manufacturing Company Charity Foundation, Taiwan; Department of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan; Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, No. 155, Sec.2, Linong St, Taipei 112304, Taiwan.Taiwan Semiconductor Manufacturing Company Charity Foundation, Taiwan; Department of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan; Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, No. 155, Sec.2, Linong St, Taipei 112304, Taiwan. · pubmed

Paper

Abstract

This study aims to examine the association between sleep and intrinsic capacity (IC), employing a machine-learning approach, to promote healthy aging and disability prevention in the community.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The study examines the relationship between sleep patterns and intrinsic capacity to promote healthy aging. This research is relevant as it addresses factors that may contribute to healthy aging and disability prevention, aligning with the goals of longevity research.

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