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Machine learning prediction models for prognosis of critically ill patients after open-heart surgery

We aimed to build up multiple machine learning models to predict 30-days mortality, and 3 complications including septic shock, thrombocytopenia, and liver dysfunction after open-heart surgery. Patients who underwent coronary artery bypass surgery, aortic valve replacement, or other heart-related su...

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Detalles Bibliográficos
Autores principales:	Zhong, Zhihua, Yuan, Xin, Liu, Shizhen, Yang, Yuer, Liu, Fanna
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873187/ https://www.ncbi.nlm.nih.gov/pubmed/33564090 http://dx.doi.org/10.1038/s41598-021-83020-7

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