Analysis of Dust Exposure Impact on Cardiovascular Diseases Risk Prediction in Bangkok, Thailand

Abstract

Cardiovascular disease (CVD) is a leading cause of death for people around the world. Prediction of CVD risk in advance is one of the most useful and effective tools to prevent and control your risk of developing CVD. Air pollution is a threat to health problems worldwide due to the development of the economy and society. The past studies found that air pollution was one factor that can cause CVD. Additionally, for the Thai population, pollution was one of the factors contributing to premature death. In this work, we aim to predict CVD risk using the patient data set from Bangkok Hospital in Bangkok alone with several algorithms and increase the accuracy using a combination of health and pollution. The prediction based on health data alone with the average AUC scores 0.89±0.03, while the prediction with added air pollution data with the average AUC scores 0.91±0.03 an average 0.02 increase than based on health data results alone. We found that considering pollution data can improve the overall performance of the model to predict CVD risk.