Review for 10.1186/s12876-023-02753-z (2023)

Reviewer’s report
Title: 
Using machine learning methods to predict 28-day mortality in patients
with hepatic encephalopathy
Version: 
0 
Date: 
15 Sep 2022
Reviewer's report:
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The authors performed a significant exploration of artificial intelligent approach
to clinical evaluation of hepatic encephalopathy through mining publicly
available data base. 
However, the authors should address the following issues
before being considered for publishing: 1) Many liver diseases could 
result in
liver failure, including viral hepatitis, alcoholism, autoimmune diseases, and
hereditary diseases. 
Each disease may have a distinct clinical features and
clinical course and each country may have a distinct disease and race spectrum.
The authors used a Boston based data base for their study and should not be
automatically considered a general results and conclusion. 
The authors should
present data about the primary disease for hepatic encephalopathy; and 2) the
authors should describe the criteria for the diagnosis of hepatic encephalopathy.
Moreover, since machine learning is a novel technology for clinical application, I
would suggest an expert in artificial intelligence should also review this
manuscript.
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Is the study design appropriate to answer the research question (including the use
of appropriate controls), and are the conclusions supported by the evidence
presented?
Yes
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Yes
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