A proposed machine learning framework for metabolic dysfunction-associated steatotic liver disease may improve personalized risk prediction.

An interpretable machine learning model predicted moderate to severe acute kidney injury risk in ICU patients with acute ...

A machine learning model matched HVPG accuracy for predicting decompensation in advanced chronic liver disease, without invasive testing.

We conducted a single-centered retrospective cohort study in patients with advanced solid tumors. Clinical correspondence authored by oncologists at the first patient encounter was extracted from the ...

This article is excerpted from the course "Fundamental Machine Learning," part of the Machine Learning Specialist certification program from Arcitura Education. It is the twelfth part of the 13-part ...