Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-2026
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-12,Issue-1. 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: :  Enhance Accuracy of Medical Disease Prediction Using Machine Learning Techniques
PaperId: :  25253
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 6 2024
DUI:    16.0415/IJARIIE-25253
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sandeep Singh Sikarwarsrk
dinesh kumar sahusrk

Abstract

Machine Learning
Support Vector Machine, Neural Network, Classification, Heart Disease, Naïve Bayes, PCA
-This paper gives an endeavor to productively arrange and foresee heart illnesses at a beginning phase with high exactness and execution measures. The huge commitment of this exposition is isolated into two sections. Initial, a powerful way to deal with prior location and grouping of coronary illness is portrayed. Next, a fourier change based clinical proposal model is introduced for the previous conclusion of heart diesease. Supervised machine learning classifiers can be categorized into multiple types. These types include naïve Bayes, linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA), generalized linear models, stochastic gradient descent, support vector machine (SVM), linear support vector classifier (Linear SVC) decision trees, neural network models, nearest neighbours and ensemble methods. The ensemble methods combine weak learners to create strong learners. In this paper the implemented result with the help of hybid Naïve Bayes Machine Learning and principal component analysis (PCA) algorithms.

Citations

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

IJARIIE Sandeep Singh Sikarwar, and dinesh kumar sahu. "Enhance Accuracy of Medical Disease Prediction Using Machine Learning Techniques" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 6 2024 Page 1-7
MLA Sandeep Singh Sikarwar, and dinesh kumar sahu. "Enhance Accuracy of Medical Disease Prediction Using Machine Learning Techniques." International Journal Of Advance Research And Innovative Ideas In Education 10.6(2024) : 1-7.
APA Sandeep Singh Sikarwar, & dinesh kumar sahu. (2024). Enhance Accuracy of Medical Disease Prediction Using Machine Learning Techniques. International Journal Of Advance Research And Innovative Ideas In Education, 10(6), 1-7.
Chicago Sandeep Singh Sikarwar, and dinesh kumar sahu. "Enhance Accuracy of Medical Disease Prediction Using Machine Learning Techniques." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 6 (2024) : 1-7.
Oxford Sandeep Singh Sikarwar, and dinesh kumar sahu. 'Enhance Accuracy of Medical Disease Prediction Using Machine Learning Techniques', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, 2024, p. 1-7. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Enhance_Accuracy_of_Medical_Disease_Prediction_Using_Machine_Learning_Techniques_ijariie25253.pdf (Accessed : 24 July 2025).
Harvard Sandeep Singh Sikarwar, and dinesh kumar sahu. (2024) 'Enhance Accuracy of Medical Disease Prediction Using Machine Learning Techniques', International Journal Of Advance Research And Innovative Ideas In Education, 10(6), pp. 1-7IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Enhance_Accuracy_of_Medical_Disease_Prediction_Using_Machine_Learning_Techniques_ijariie25253.pdf (Accessed : 24 July 2025)
IEEE Sandeep Singh Sikarwar, and dinesh kumar sahu, "Enhance Accuracy of Medical Disease Prediction Using Machine Learning Techniques," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, pp. 1-7, Nov-Dec 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Enhance_Accuracy_of_Medical_Disease_Prediction_Using_Machine_Learning_Techniques_ijariie25253.pdf [Accessed : 24 July 2025].
Turabian Sandeep Singh Sikarwar, and dinesh kumar sahu. "Enhance Accuracy of Medical Disease Prediction Using Machine Learning Techniques." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 6 (24 July 2025).
Vancouver Sandeep Singh Sikarwar, and dinesh kumar sahu. Enhance Accuracy of Medical Disease Prediction Using Machine Learning Techniques. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 24 July 2025]; 10(6) : 1-7. Available from: https://ijariie.com/AdminUploadPdf/Enhance_Accuracy_of_Medical_Disease_Prediction_Using_Machine_Learning_Techniques_ijariie25253.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 7/24/2025 7:50:39 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceRajshekar G Download
GEN-AI POWERED LIVER-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceDhananjay M Download
12