Bruno Batinica: Predicting Cardiovascular Disease Across Populations Using Deep Learning

Novel deep-learning techniques have the potential to enable the accurate and low-cost prediction of cardiovascular disease (CVD) using only routinely collected administrative data. This research develops state-of-the-art models for predicting CVD across New Zealand and demonstrates their superiority over currently utilised traditional statistical models.

This poster was uploaded for the SGS Research Showcase 2023.