Shaked-g/FinalProject

This project leverages machine learning to analyze Enteral Feeding Intolerance (EFI) using data from ICU patients. The objective is to enhance understanding of EFI and support data-driven treatment decisions by identifying key features and patient subgroups. The analysis includes both supervised and unsupervised learning techniques.

Jupyter Notebook