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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917697/
https://www.ncbi.nlm.nih.gov/pubmed/36769840
http://dx.doi.org/10.3390/jcm12031193

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917697/
https://www.ncbi.nlm.nih.gov/pubmed/36769840
http://dx.doi.org/10.3390/jcm12031193

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