Adverse events after repair of tetralogy of Fallot: prediction models by machine learning of a retrospective cohort study in western China

BACKGROUND: The incidence of clinical adverse events after tetralogy of Fallot (TOF) repair remains high. This study was performed to explore risk factors for adverse events and develop a prediction model through machine learning (ML) to forecast the incidence of clinical adverse events after TOF re...

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Detalles Bibliográficos
Autores principales: Xi, Linyun, Xiang, Ming, Wu, Chun, Pan, Zhengxia, Dai, Jiangtao, Wang, Gang, Li, Hongbo, An, Yong, Li, Yonggang, Zhang, Yuan, Wei, Xiaoqin, He, Dawei, Wang, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986786/
https://www.ncbi.nlm.nih.gov/pubmed/36891362
http://dx.doi.org/10.21037/tp-22-246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986786/
https://www.ncbi.nlm.nih.gov/pubmed/36891362
http://dx.doi.org/10.21037/tp-22-246

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