About This Project
This project aims to predict whether a baby is preterm or full-term based on brain connectivity matrices. The project uses machine learning models to analyze these matrices and classify the prematurity status of a baby. The model is trained on a dataset of brain connectivity matrices and their corresponding prematurity status labels.
Key Features
- Medical data analysis
- Classification models
- Streamlit app
Technologies
Scikit-LearnMLPython