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Title: :  HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES
PaperId: :  19518
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19518
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
RAVULA BALA RANGA SAIVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
VALLURI SATISHVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
CHENNUBOINA PURNA SEKHARVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
SATHIRI KARTHIKVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY

Abstract

Bio Medical
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
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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IJARIIE 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 Volume 9 Issue 2 2023 Page 1031-1036
MLA 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 9.2(2023) : 1031-1036.
APA RAVULA BALA RANGA SAI, VALLURI SATISH, CHENNUBOINA PURNA SEKHAR, & SATHIRI KARTHIK. (2023). HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 1031-1036.
Chicago 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 9, no. 2 (2023) : 1031-1036.
Oxford 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, 2023, p. 1031-1036. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/HEART_DISEASE_PREDICTION_USING_MACHINE_LEARNING_TECHNIQUES_ijariie19518.pdf (Accessed : ).
Harvard RAVULA BALA RANGA SAI, VALLURI SATISH, CHENNUBOINA PURNA SEKHAR, and SATHIRI KARTHIK. (2023) 'HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 1031-1036IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/HEART_DISEASE_PREDICTION_USING_MACHINE_LEARNING_TECHNIQUES_ijariie19518.pdf (Accessed : )
IEEE 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, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/HEART_DISEASE_PREDICTION_USING_MACHINE_LEARNING_TECHNIQUES_ijariie19518.pdf [Accessed : ].
Turabian 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 [Online]. volume 9 number 2 ().
Vancouver 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 [Internet]. 2023 [Cited : ]; 9(2) : 1031-1036. Available from: https://ijariie.com/AdminUploadPdf/HEART_DISEASE_PREDICTION_USING_MACHINE_LEARNING_TECHNIQUES_ijariie19518.pdf
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