Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

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

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

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
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Review Coronary Heart Disease in WomenmedicineDr Prabha Chapagain Koirala Download
Heart Guard AI: Smart Detection and Classification using Neural NetworksComputer Science and EngineeringPranay Singh Download
Left atrial appendage occlusionMedical Mohammad Kabir Haroon Download
Lipid-Lowering Therapy and PCSK9 Inhibitors: The Function of PCSK9 inhibitors in Controlling High Cholesterol Level and Lowering the Possibility of StrokeMedicalSaddam Hussain Download
HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUESBio MedicalRAVULA BALA RANGA SAI Download
AUTOMATED DETECTION OF ATRIAL FIBRILLATION USING DEEP LEARNINGBio Medical and Computer Science EngineeringSai Teja Ganji Download
CARDIAC DISEASES PREDICTION USING SVM WITH XG BOOST ALGORITHMMachine Learning, MedicalMr.E.Loganathan Download