🩺This project uses Random Forest classification to predict liver cirrhosis stages (1, 2, or 3) based on patient records from a Mayo Clinic study. By analyzing key clinical indicators such as bilirubin, albumin, and copper levels, the model supports early diagnosis and medical decision-making with interpretable machine learning.
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Updated
Nov 12, 2025 - Jupyter Notebook