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Miss Narinder Kaur

University of Glasgow, Glasgow (United Kingdom of Great Britain & Northern Ireland)

Member of:

European Society of Cardiology
Heart Failure Association

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

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Novel support tool for predicting incident heart failure in type-2 diabetes mellitus: a precision medicine approach

Event: Heart Failure 2024

Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support

Session: e-Cardiology/digital health

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Use of machine learning to predict mortality in patients with type 2 diabetes mellitus, according to socioeconomic status

Event: ESC Congress 2023

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Harnessing the power of artificial intelligence in the clinic

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Predicting incident heart failure in patients with type ii diabetes: a machine a learning approach

Event: Heart Failure 2023

Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support

Session: ePosters in e-cardiology/digital health 2

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