Review of Various Data Mining Technique for Detection and Prediction of Heart Stroke
Main Article Content
Abstract
Heart disease receives special attention in medical research because of its impact on human health. One of the main causes of death in the country is heart disease. Data mining was developed as an important approach to computer applications in medical informatics. Many of the algorithms related to data mining have gone a long way toward clearing medical data. This article reviewdifferentDM methods used to predict heart disease and identify the main possibility factors for heart disease by categorizing the risk factors in an order that causes damage to the heart, such as: hypercholesterolemia, obesity, poor diet and Stress, high blood pressure. etc.
Article Details
How to Cite
Radhika S., Dr. Anil Kumar. (2021). Review of Various Data Mining Technique for Detection and Prediction of Heart Stroke. Annals of the Romanian Society for Cell Biology, 10028–10032. Retrieved from https://annalsofrscb.ro/index.php/journal/article/view/3755
Issue
Section
Articles