The package provides necessary Python notebooks, data files, intermediate and final output files, and instructions to train and test a CVD prediction model and use Uncertainty modeling for model selec
This dataset comprises 2 million synthetic samples generated using the Variational Autoencoder-Generative Adversarial Network (VAE-GAN) technique. The dataset is designed to facilitate cardiovascular
