Project information
- Category: Predictive Analysis, Neural Network
- Reason: Purdue Health Tech Challenge
- Project date: 2025
- Project URL: Click Here
More about this project:
A PyTorch-based feedforward neural network for predicting cancer severity levels from medical tabular data, with automatic patient risk stratification using K-means clustering.
This project uses deep learning to predict cancer severity scores (0-1 scale) from patient medical records. The model is trained on NIH Glioblastoma dataset containing 21,634 patient records with 164 clinical features.