Exploring Risk Factors for Cardiovascular Disease: Insights from NHANES Database Analysis

The primary factors contributing to mortality in the human population encompass a range of interrelated medical conditions, such as cardiovascular disease (CVD) and associated comorbidities. The main aim of the study is to investigate major factors in developing CVD. In the study, we have used National Health and Nutrition Examination Survey (NHANES) dataset to gather data between the years 2007 and 2012. A machine learning (ML) ensemble approach was utilized to collect and analyze data about the patient’s demographics, lifestyle characteristics, physical examination, and laboratory test results and achieved an accuracy of 91.49%. Furthermore, research has demonstrated a strong correlation between CVD and factors like BMI, BP, HDL, LDL, basophils, WBC, RBC, hemoglobin, and monocytes. The implications of these findings suggest that medical practitioners consider the identified risk factors while assessing a patient’s risk of CVD and implementing preventative measures. Further, investigation is required to validate these findings and identify additional predictors and biomarkers associated with CVD.