J. Custer

LightGBM for Liver Disease Detection with Hybrid Hyperparameter Optimization

In response to the growing burden of liver-related disorders, this research develops a supervised learning approach using the Light Gradient Boosting Machine (LightGBM) algorithm to support the early identification of Non-Alcoholic Fatty Liver Disease (NAFLD). The study focuses on constructing and assessing a robust cl...