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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Bibliographic Details
Main Authors: Yingying Hu, Ruijia Chen, Haibing Gao, Haitao Lin, Jinye Wang, Xiaowei Wang, Jingfeng Liu, Yongyi Zeng
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
R
Q
Online Access:https://doaj.org/article/be1b9676bcb042c2997f7ade55112449
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