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A Novel Backward Stepwise Logistic Regression And Classification And Regression Tree Model To Predict 180-Day Clinical Outcomes In Hepatitis B Virus-Acute-On-Chronic Liver Failure Patients, Shima Ghavimi

Internal Medicine

As the era of precision and personalized medicine is gaining exponential positive gain in the field of medicine, there is a positive shift towards a more evidence-based patient care approach for patients with hepatological diseases. One factor that is crucial in any physician’s decision-making efforts involves the application of novel innovative approaches that can enhance predicting survival outcome. Acute-on-chronic liver failure (ACLF) is a perfect example of how liver can rapidly deteriorate, and the hepatitis B virus (HBV) is one crucial culprit. Patients can experience organ failure that leads to their mortality, and in this article the authors clearly described …