Skip to content

nguefackuriel/Hepatitis-C-stage-prediction

Repository files navigation

Hepatitis-C-stage-prediction

This project aims to design and deploy an ML algorithm using Streamlit to predict if a patient has Hepatitis C.

This is a copy of the initial code. We don't save data entered into the app in a Google sheet.

The project has been done in collaboration with Pauline Ornela Megne, Binta Sow and Abduljaleel Adejumo.

The app can be tested using this link

The paper related to this work has been accepted at the PanAfricaCon AI(PanAfrican Artificial Intelligence Conference) 2023 which will be held from October 4 to October 5, 2023 in Ethiopia.

Link to the paper: Optimized Machine Learning Models for Hepatitis C Prediction: Leveraging Optuna for Hyperparameter Tuning and Streamlit for Model Deployment.

Releases

No releases published

Packages

No packages published

Languages