Geographic and Risk Factor Analysis of Non-Communicable Cardiovascular Diseases in Central Java using Machine Learning

Non-communicable diseases (NCDs), especially cardiovascular disease, are a major health problem in Indonesia with a global mortality rate of 17.9 million per year.In Central Java, hypertension cases will reach 8.5 million patients by 2023.This study uses the CART (Classification and Regression Tree) method and geographic mapping with Python to identify cardiovascular disease risk factors.Results showed alcohol stores as the dominant risk factor (54.3%), followed by sweet drinks (25.7%) and smokers (17.1%).The mapping identified the distribution of alcohol stores in 19 regions as a major factor in Central Java, Indonesia.