• C.Sowmiya
• Dr.P. Sumitra

In modern society, Heart disease is the noteworthy reason for short life. Large population of people depends on the healthcare system so that they can get accurate result in less time. Large amount of data is produced and collected by the healthcare organization on the daily basis. To get intriguing knowledge, data innovation permits to extract the data through automization of processes. In this research, a Random Forest algorithm with Intensity Weighted FireflyOptimization (RF-IWFFO) is proposed for heart disease prediction. The performance evaluation of the proposed system is compared with the prior SVM with Recursive Feature Elimination.

Heart Disease, Random Forest, Congestive Heart Failure FireFly Optimization

"A NOVEL MORTALITY PREDICTION APPROACH IN CONGESTIVE HEART FAILURE PATIENTS USING RF-IWFFO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.14-18, March-2019, Available :http://www.jetir.org/papers/JETIRAQ06003.pdf

"A NOVEL MORTALITY PREDICTION APPROACH IN CONGESTIVE HEART FAILURE PATIENTS USING RF-IWFFO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp14-18, March-2019, Available at : http://www.jetir.org/papers/JETIRAQ06003.pdf