Explainable machine learning model for predicting spontaneous bacterial peritonitis in cirrhotic patients with ascites

Spontaneous bacterial peritonitis (SBP) is a life-threatening complication in patients with cirrhosis. We aimed to develop an explainable machine learning model to achieve the early prediction and outcome interpretation of SBP. We used CatBoost algorithm to construct MODEL-1 with 46 variables. After...

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Detalles Bibliográficos
Autores principales: Hu, Yingying, Chen, Ruijia, Gao, Haibing, Lin, Haitao, Wang, Jinye, Wang, Xiaowei, Liu, Jingfeng, Zeng, Yongyi
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/PMC8569162/
https://www.ncbi.nlm.nih.gov/pubmed/34737270
http://dx.doi.org/10.1038/s41598-021-00218-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569162/
https://www.ncbi.nlm.nih.gov/pubmed/34737270
http://dx.doi.org/10.1038/s41598-021-00218-5

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