Call for Papers:Vol.11 Issue.2

Submission
Last date		 28-Apr-2025
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-11,Issue-2. 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
PaperId: :  17395
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17395
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sourav JoshiDronacharya College of Engineering

Abstract

Computer Engineering
Machine learning, Logistic regression, Heart disease, Support vector machine, accuracy
Heart disease (HD) is one of the most common diseases nowadays, and people who provide health care, it is very necessary to work with them to take care of their patient's health and save their life. In this paper, different classifiers were analyzed by performance comparison to classify the Heart Disease dataset to classify it correctly and or to Predict Heart Disease cases with minimal attributes. Large amounts of data that contain some secret information were collected by the healthcare industries. This data collection is useful for making effective decisions. Some advanced data mining techniques are used to make proper results and make effective decisions on data. In this case, a Heart Disease Prediction System (HDPS) is developed using Logistic Regression, K Nearest Neighbour, Decision Tree, Random Forest Classifier, and Support Vector Machine algorithms to predict the heart disease risk level. The results reveal that the Random Forest Classifier and Support Vector Machine obtained the the highest accuracy of 91.23%, whereas 86.79%, 71.69%, and 83.47% accuracy scores are obtained by logistic regression, KNN classifier, and decision tree respectively.

Citations

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

IJARIIE Sourav Joshi. "Heart Disease Prediction using Machine Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 4379-4390
MLA Sourav Joshi. "Heart Disease Prediction using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 4379-4390.
APA Sourav Joshi. (2022). Heart Disease Prediction using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 4379-4390.
Chicago Sourav Joshi. "Heart Disease Prediction using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 4379-4390.
Oxford Sourav Joshi. 'Heart Disease Prediction using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 4379-4390. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Heart_Disease_Prediction_using_Machine_Learning_ijariie17395.pdf (Accessed : ).
Harvard Sourav Joshi. (2022) 'Heart Disease Prediction using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 4379-4390IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Heart_Disease_Prediction_using_Machine_Learning_ijariie17395.pdf (Accessed : )
IEEE Sourav Joshi, "Heart Disease Prediction using Machine Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 4379-4390, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Heart_Disease_Prediction_using_Machine_Learning_ijariie17395.pdf [Accessed : ].
Turabian Sourav Joshi. "Heart Disease Prediction using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver Sourav Joshi. Heart Disease Prediction using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 4379-4390. Available from: https://ijariie.com/AdminUploadPdf/Heart_Disease_Prediction_using_Machine_Learning_ijariie17395.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
SURVEY ON PASSWORD MANAGERSComputer Science and EngineeringARUN CS Download
ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHMCOMPUTER SCIENCE & ENGINEERINGRanjeet Kumar Download
THIEF DETECTION ALGORITHM FOR ADVANCED SECURITY SYSTEMS BASED ON DYNAMIC NEURAL NETWORKSCOMPUTER SCIENCE & ENGINEERINGMd Mazhar Haroon Download
SECURING CLOUD DATA WITH WATERMARKING STRATEGIES IN CLOUD COMPUTING SYSTEMCOMPUTER SCIENCE ENGINEERINGAmit Kumar Download
ENABLING INCLUSIVE COMMUNICATION: A STUDY ON VOICE-BASED EMAIL SYSTEMS WITH BCRYPT, GMM, MFCC, AND AIComputer EngineeringFidha Gafoor Download
SURVEY ON BREAST CANCER DETECTION USING CNN ALGORITHMComputer Science & EngineeringAmalkrishna K B Download
Women's Safety Android AppComputer EngineeringJishnu Manoj Download
Research paper on Home Rental WebsiteComputer Science engineeringHarshita Jain Download
SURVEY ON STUDYMATE PLATFORM FOR STUDENTS USING GALE SHAPLEY ALGORITHMComputer EngineeringGodwin K J Download
TOUCHLESS MEDIA INTERACTION: A REAL-TIME HAND GESTURE CONTROLLED INTERFACE FOR VLC MEDIA PLAYBACKComputer EngineeringJeswin Joy Download
SURVEY ON NEXT GEN AI QUESTION GENERATOR USING NLPComputer EngineeringAthira Thomas Download
DeepSceneText: A Multi-Scale Transformer Framework for Accurate Text Detection and RecognitionComputer Science Engineering Lahor Purva Rajesh Download
COLOR RECOGNITION METHODS IN DIGITAL IMAGES: A REVIEW OF CLASSICAL AND DEEP LEARNING APPROACHESComputer EngineeringAshik James Download
Store sale predictionComputer EngineeringMaliha Aafrin Mujahid Sayyad Download
Applying Machine Learning Algorithms For The Classification Of Sleep DisordersInformation TechnologySIVASANKAR CHITTOOR Download
12