Prediction and Analysis of Heart disease using Data mining Algorithms

Abstract

Heart Disease refers to a broad range of heart-related health problems. Heart disease is currently the world's most serious public health issue. Many organizations have made extensive use of data mining. Data mining in healthcare is becoming trendy, if not extremely important. The health sector nowadays produces a significant volume of complex data about individuals, diagnosis of diseases, clinical notes, medical equipment, and so on. The objective is to know about the various data mining methods that have evolved to forecast heart problems. According to the findings, a Random forest with 15 features outstripped all such data-mining methods.