Application of machine learning algorithms in osteoporosis analysis based on cardiovascular health assessed by life's essential 8: a cross-sectional study.

Journal: Journal of health, population, and nutrition

Published Date: May 29, 2025

Abstract

BACKGROUND: Life's Essential 8 (LE8) for assessing cardiovascular health (CVH) has been demonstrated to be inversely associated with osteoporosis (OP). This study aims to create a machine learning (ML) model to assess the clinical association value of lifestyle and behavioral factors, assessed by LE8, on OP risk in the United States.

Authors

Haolin Shi

Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yangyi Fang

Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China.
Xiuhua Ma

Beijing Friendship Hospital, Capital Medical University, Beijing, China. dxqrmyy@126.com.

Keywords

Aged Algorithms Cardiovascular Diseases Cross-Sectional Studies Female Health Behavior Humans Life Style Machine Learning Male Middle Aged Nutrition Surveys Osteoporosis Risk Assessment Risk Factors United States

External Resources

View on PubMed Access via DOI PubMed (40442859)

Application of machine learning algorithms in osteoporosis analysis based on cardiovascular health assessed by life's essential 8: a cross-sectional study.

Abstract

Authors

Keywords

External Resources

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