American Research Journal of Cardiovascular Diseases

Cardiovascular diseases are one of the leading factors of death around the world. To provide insights on the correlation between general factors and the existence of cardiovascular diseases, a dataset supplied by Svetlana Ulianova in Kaggle with 70,000 patient records with 11 features and a target was used to determine what attributes have the most influence on cardiovascular conditions. The research results suggest that 1) Smoking, height, and gender did not have a significant contribution to cardiovascular disease 2) Systolic and diastolic were shown to have a strong contribution to cardiovascular disease 3) Random Forest model performance yielded the highest metrics compared to both Gassausian Naive Bayes and the benchmark model Logistic Regression. This research can assist Doctors with determining patients who have a high susceptibility to cardiovascular disease.