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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Geriatric nursing (New York) Jg. 66; H. Pt B; S. 103609
Hauptverfasser:	Song, Xuewu, Shi, Jianyou, Zhu, Changyu, Xian, Feng, Dong, Ziyi, Li, Jinqi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.11.2025
Schlagworte:	Unplanned readmission Coronary heart disease Elderly Machine learning
ISSN:	0197-4572, 1528-3984, 1528-3984
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!