Abstract
Heart disease and stroke have had an impact on 28:1% of total deaths in India in 2016 as compared to 15:2% in 1990. With the rising use of learning algorithms, In this edition paper, we have developed a system for predicting heart disease that can predict heart disease by using a modified random forest algorithm. The proposed algorithm is trained with a dataset consisting of 303 instances which help to predict the occurrence of heart disease with an accuracy of 86:84% and can be implemented in the medical field to improve the overall diagnosis about heart disease.
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Vinayaka, S., & Gupta, P. K. (2020). Heart Disease Prediction System Using Classification Algorithms. In Communications in Computer and Information Science (Vol. 1244 CCIS, pp. 395–404). Springer. https://doi.org/10.1007/978-981-15-6634-9_36
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