HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES

RAVULA BALA RANGA SAI; VALLURI SATISH; CHENNUBOINA PURNA SEKHAR; SATHIRI KARTHIK

HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES

March 2023

Vol-9, Issue-2

Paper ID: 19518

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Bio Medical

Keywords

Logistic Regression (LR) Decision Tree (DT) Kth Nearest neighbors (KNN) Support Vector Machine (SVM) Random Forest (RF) XG-Boost Near Miss Data Imbalance Machine Learning

Abstract

Heart Disease is currently the top cause of mortality worldwide. Several strategies have been developed by researchers to increase the sharpness and efficiency of clinical cardiac disease detection. Moreover, for the people who study clinical data, predicting of cardiac disease remains a challenging task since it must be predicted in its early stage for a person to survive. For its prediction in early stage the data in the dataset must be balanced. The major goal of this project is to develop an accurate Cardiac Disease prediction model that uses the NEARMISS under sampling algorithm for balancing the imbalanced distribution of the data present in dataset. In machine learning, the term "data imbalance" refers to an unbalanced distribution of classes within a dataset. This problem mostly arises in classification jobs. The reason behind it is distribution of labels within a dataset is not symmetrical. So, in order to overcome it near miss under sampling technique is used for improving the performance of the models (Random Forest (RF), Logistic Regression (LR), Support Vector Machine(SVM), Decision Tree(DT), K-Nearest Neighbors(KNN) and XG-Boost) in terms of accuracy and recall

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Author Information

#	Name	Institute / Affiliation
1	RAVULA BALA RANGA SAI	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
2	VALLURI SATISH	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
3	CHENNUBOINA PURNA SEKHAR	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
4	SATHIRI KARTHIK	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY

How to Cite

Use the following formats to cite this article in your research.

APA Style

SAI, RAVULA BALA RANGA, SATISH, VALLURI, SEKHAR, CHENNUBOINA PURNA, & KARTHIK, SATHIRI (2023). HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 1031-1036.

MLA Style

SAI, RAVULA BALA RANGA, et al. "HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 1031-1036.

IEEE Style

RAVULA BALA RANGA SAI, VALLURI SATISH, CHENNUBOINA PURNA SEKHAR, and SATHIRI KARTHIK, "HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 1031-1036, 2023.

Vancouver Style

SAI RAVULA BALA RANGA, SATISH VALLURI, SEKHAR CHENNUBOINA PURNA, KARTHIK SATHIRI. HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):1031-1036.

Harvard Style

SAI, RAVULA BALA RANGA, SATISH, VALLURI, SEKHAR, CHENNUBOINA PURNA, & KARTHIK, SATHIRI (2023) 'HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 1031-1036.

Chicago Style

SAI, RAVULA BALA RANGA, et al. "HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 1031-1036.

Turabian Style

SAI, RAVULA BALA RANGA, et al. "HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 1031-1036.