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

Abstract 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 variabl...

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Autores principales: Yingying Hu, Ruijia Chen, Haibing Gao, Haitao Lin, Jinye Wang, Xiaowei Wang, Jingfeng Liu, Yongyi Zeng
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/be1b9676bcb042c2997f7ade55112449
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