Liver disease screening model

The brief

A diagnostic lab in India wants to flag patients whose liver function results suggest disease, so they get a follow-up. Build a screening model, focus on not missing sick patients, and explain it in clinical terms. Good looks like: high sensitivity, sensible explanations tied to the blood markers, and a note on limits.

What you will build

1. Explore the blood markers and their ranges
2. Handle imbalance and missing values
3. Train and compare classifiers
4. Pick a high-sensitivity threshold
5. Explain results in clinical terms

Free, open data to build it with

• Indian Liver Patient Records ↗ Kaggle (UCI data)

Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.