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Narinder is a passionate and innovative Precision Medicine Scientist and PhD Candidate who is putting in substantial effort to build a strong multidisciplinary field of Cardiovascular Disease (CVD) and Artificial Intelligence. Her goal is to investigate the definitive causes of CVD and apply state-of-the-art AI methods to identify distinct patient lifestyle profiles concerning multimorbidity.
She is currently implementing survival-based models to uncover prognostic factors and pathways to cardiovascular disease progression in patients with type 2 diabetes mellitus. This is carried out by the efficient usage of electronic health records from NHS Scotland Greater Glasgow & Clyde and Hong Kong. Overall, the research introduces new approaches to support healthcare professionals manage patients with cardiovascular risk events.
Predicting mortality of type-2 diabetes mellitus by applying machine learning to electronic medical records in the west of scotland and hong kong
Event: ESC Congress 2024
Topic: Artificial Intelligence (Machine Learning, Deep Learning)
Session: Progress and challenges in artificial intelligence for cardiovascular risk assessment and diagnosis
