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

Internet

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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