Back to search

Article

Machine Learning Prediction of MACE in Older Chinese Adults Integrating Traditional and Geriatric-Specific Risk Factors: A CHARLS Cohort Analysis

2025-07-22

Abstract excerpt

<title>Abstract</title> <p>Background Cardiovascular disease (CVD) poses a substantial health burden on China's aging population. Existing cardiovascular risk models often perform poorly in older Chinese adults and rarely integrate geriatric-specific non-traditional factors. This study aimed to develop and validate machine learning-based models incorporating both traditional and non-traditional risk factors for p...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c38f9236-df59-505d-8a0a-1b86baae0567
DOI
10.21203/rs.3.rs-6906133/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Machine Learning Prediction of MACE in Older Chinese Adults Integrating Traditional and Geriatric-Specific Risk Factors: A CHARLS Cohort AnalysisDOI 10.21203/rs.3.rs-6906133/v1
Select a neighboring publication to make it the new centre.