Article
Prediction of Coronary Artery Disease Risk Using Genetic and Phenotypic Variables.
Studies in health technology and informatics - 25 Jan 2024
Sng Letitia M F, Sharma Reevanshi, Bagot Sam, Bauer Denis C, Twine Natalie A
Abstract excerpt
Coronary artery disease (CAD) has the highest disease burden worldwide. To manage this burden, predictive models are required to screen patients for preventative treatment. A range of variables have been explored for their capacity to predict disease, including phenotypic (age, sex, BMI and smoking status), medical imaging (carotid artery thickness) and genotypic. We use a machine learning models and the UK...
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