Predicting the postoperative blood coagulation state of children with congenital heart disease by machine learning based on real-world data

BACKGROUND: Postoperative blood coagulation assessment of children with congenital heart disease (CHD) has been developed using a conventional statistical approach. In this study, the machine learning (ML) was used to predict postoperative blood coagulation function of children with CHD, and assess...

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Detalles Bibliográficos
Autores principales: Guo, Kai, Fu, Xiaoyan, Zhang, Huimin, Wang, Mengjian, Hong, Songlin, Ma, Shuxuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882284/
https://www.ncbi.nlm.nih.gov/pubmed/33633935
http://dx.doi.org/10.21037/tp-20-238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882284/
https://www.ncbi.nlm.nih.gov/pubmed/33633935
http://dx.doi.org/10.21037/tp-20-238

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