SGS_submission-65172c87-2b8b-4921-973d-70d724eb5550.pdf (1.4 MB)
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.