Identification of risk factors for infection after mitral valve surgery through machine learning approaches

BACKGROUND: Selecting features related to postoperative infection following cardiac surgery was highly valuable for effective intervention. We used machine learning methods to identify critical perioperative infection-related variables after mitral valve surgery and construct a prediction model. MET...

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Detalles Bibliográficos
Autores principales: Zhang, Ningjie, Fan, Kexin, Ji, Hongwen, Ma, Xianjun, Wu, Jingyi, Huang, Yuanshuai, Wang, Xinhua, Gui, Rong, Chen, Bingyu, Zhang, Hui, Zhang, Zugui, Zhang, Xiufeng, Gong, Zheng, Wang, Yongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294678/
https://www.ncbi.nlm.nih.gov/pubmed/37383697
http://dx.doi.org/10.3389/fcvm.2023.1050698

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294678/
https://www.ncbi.nlm.nih.gov/pubmed/37383697
http://dx.doi.org/10.3389/fcvm.2023.1050698

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