Automated Machine Learning in Predicting 30-Day Mortality in Patients with Non-Cholestatic Cirrhosis
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DOI: 10.3390/jpm12111930
Abstract: 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… read more here.
Keywords: predicting day; non cholestatic; machine; cholestatic cirrhosis ... See more keywords