Development and validation of a cardiovascular risk prediction model for Sri Lankans using machine learning.

Introduction And Objectives: Sri Lankans do not have a specific cardiovascular (CV) risk prediction model and therefore, World Health Organization(WHO) risk charts developed for the Southeast Asia Region are being used. We aimed to develop a CV risk prediction model specific for Sri Lankans using machine learning (ML) of data of a population-based, randomly selected cohort of Sri Lankans followed up for 10 years and to validate it in an external cohort.

Material And Methods: The cohort consisted of 2596 individuals between 40-65 years of age in 2007, who were followed up for 10 years.