XGBoost machine learning algorithm for predicting unplanned readmission in elderly patients with coronary heart disease

Most studies have focused on 30-day rather than 1-year unplanned readmissions in elderly patients with coronary heart disease (CHD). The extreme gradient boosting (XGBoost)-based model demonstrates good predictive performance and explainability. This study aimed to establish an XGBoost model to pred...

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Bibliographic Details

Published in:	Geriatric nursing (New York) Vol. 66; no. Pt B; p. 103609
Main Authors:	Song, Xuewu, Shi, Jianyou, Zhu, Changyu, Xian, Feng, Dong, Ziyi, Li, Jinqi
Format:	Journal Article
Language:	English
Published:	United States 01.11.2025
Subjects:	Unplanned readmission Coronary heart disease Elderly Machine learning
ISSN:	0197-4572, 1528-3984, 1528-3984
Online Access:	Get full text
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