Prediction of Surgical Approach in Mitral Valve Disease by XGBoost Algorithm Based on Echocardiographic Features

In this study, we aimed to develop a prediction model to assist surgeons in choosing an appropriate surgical approach for mitral valve disease patients. We retrospectively analyzed a total of 143 patients who underwent surgery for mitral valve disease. The XGBoost algorithm was used to establish a p...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of clinical medicine 2023-02, Vol.12 (3), p.1193
Hauptverfasser:	Lin, Xiaoxuan, Chen, Lixin, Zhang, Defu, Luo, Shuyu, Sheng, Yuanyuan, Liu, Xiaohua, Liu, Qian, Li, Jian, Shi, Bobo, Peng, Guijuan, Zhong, Xiaofang, Huang, Yuxiang, Li, Dagang, Qin, Gengliang, Yin, Zhiqiang, Xu, Jinfeng, Meng, Chunying, Liu, Yingying
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Calcification Cardiovascular disease Clinical medicine Endocarditis Heart Patients Prostheses Surgery Surgical techniques Variables
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!