Automated Machine Learning in Predicting 30-Day Mortality in Patients with Non-Cholestatic Cirrhosis

Automated Machine Learning in Predicting 30-Day Mortality in Patients with Non-Cholestatic Cirrhosis

Objective: To evaluate the feasibility of automated machine learning (AutoML) in predicting 30-day mortality in non-cholestatic cirrhosis. Methods: A total of 932 cirrhotic patients were included from the First Affiliated Hospital of Soochow University between 2014 and 2020. Participants were divide...

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Bibliographic Details
Main Authors: Chenyan Yu, Yao Li, Minyue Yin, Jingwen Gao, Liting Xi, Jiaxi Lin, Lu Liu, Huixian Zhang, Airong Wu, Chunfang Xu, Xiaolin Liu, Yue Wang, Jinzhou Zhu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Journal of Personalized Medicine
Subjects:
non-cholestatic cirrhosis
automated machine learning
shapley additive explanation
partial dependence plots
local interpretable model agnostic explanation
Online Access:https://www.mdpi.com/2075-4426/12/11/1930

Internet

https://www.mdpi.com/2075-4426/12/11/1930

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