Alzheimer's Drug Repurposing Analysis
Upload your CSV data to perform comprehensive causal AI analysis including directional feature importance and uplift tree analysis
If left empty, drug name will be inferred from filename
Data Format Requirements
Required columns: Drug (binary), AD (binary outcome), demographic features (continuous), clinical features (binary/continuous)
Analysis includes:
- CFR-based treatment effect analysis
- Directional feature importance analysis
- Uplift tree visualizations
- Individual Treatment Effect (ITE) analysis
Example format:
1,0,65,1,0,1,28
0,1,72,0,1,0,24
...
Note: The analysis will generate comprehensive visualizations including directional feature effects and uplift tree analysis.
Upload Your Data
or drag and drop
CSV files only, up to 10MB
Select Analysis Models
Choose one or more models for your analysis. Each model uses different approaches to measure distribution differences.
MMD Linear
Maximum Mean Discrepancy with linear kernel
MMD RBF
Maximum Mean Discrepancy with RBF kernel
Wasserstein
Wasserstein distance metric
Training Configuration
Configure the number of training epochs for the models. More epochs may improve accuracy but take longer to train.