Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-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-3. 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

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  A detailed examination of machine learning techniques for predicting heart illness
PaperId: :  20017
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20017
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Priyanshu SinghDayananda Sagar Academy of Tech & Management
Prakruthi HRDayananda Sagar Academy of Tech & Management
Nayana SagarDayananda Sagar Academy of Tech & Management
Moulya GDayananda Sagar Academy of Tech & Management
Thirukrishna JTDayananda Sagar Academy of Tech & Management

Abstract

Computer Science
Cardiovascular disorders, decision trees, logistic regression (LR), machine learning(ML) with support vector machines (SVM),KNN
The prenatal recognition of CVDs can help high-risk patients choose whether to change the way they live , which can lessen their severity. Using consistent techniques of machine learning, research has sought to identify the most significant risk variables for heart disease as well as effectively estimate the total risk. In order to produce an accurate predictive algorithm for heart disease, the latest research has looked at bringing together these methods using techniques like machine learning (ml) algorithms. These findings recommend a framework for assessing the precision of implementing particular outcomes from the use of decision trees, k-near neighbor, and logistic regression and SVM on the Cleveland Heart Disease Database.

Citations

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

IJARIIE Priyanshu Singh, Prakruthi HR, Nayana Sagar, Moulya G, and Thirukrishna JT. "A detailed examination of machine learning techniques for predicting heart illness" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 488-497
MLA Priyanshu Singh, Prakruthi HR, Nayana Sagar, Moulya G, and Thirukrishna JT. "A detailed examination of machine learning techniques for predicting heart illness." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 488-497.
APA Priyanshu Singh, Prakruthi HR, Nayana Sagar, Moulya G, & Thirukrishna JT. (2023). A detailed examination of machine learning techniques for predicting heart illness. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 488-497.
Chicago Priyanshu Singh, Prakruthi HR, Nayana Sagar, Moulya G, and Thirukrishna JT. "A detailed examination of machine learning techniques for predicting heart illness." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 488-497.
Oxford Priyanshu Singh, Prakruthi HR, Nayana Sagar, Moulya G, and Thirukrishna JT. 'A detailed examination of machine learning techniques for predicting heart illness', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 488-497. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_detailed_examination_of__machine_learning_techniques_for_predicting_heart_illness_ijariie20017.pdf (Accessed : 10 July 2024).
Harvard Priyanshu Singh, Prakruthi HR, Nayana Sagar, Moulya G, and Thirukrishna JT. (2023) 'A detailed examination of machine learning techniques for predicting heart illness', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 488-497IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_detailed_examination_of__machine_learning_techniques_for_predicting_heart_illness_ijariie20017.pdf (Accessed : 10 July 2024)
IEEE Priyanshu Singh, Prakruthi HR, Nayana Sagar, Moulya G, and Thirukrishna JT, "A detailed examination of machine learning techniques for predicting heart illness," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 488-497, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_detailed_examination_of__machine_learning_techniques_for_predicting_heart_illness_ijariie20017.pdf [Accessed : 10 July 2024].
Turabian Priyanshu Singh, Prakruthi HR, Nayana Sagar, Moulya G, and Thirukrishna JT. "A detailed examination of machine learning techniques for predicting heart illness." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 (10 July 2024).
Vancouver Priyanshu Singh, Prakruthi HR, Nayana Sagar, Moulya G, and Thirukrishna JT. A detailed examination of machine learning techniques for predicting heart illness. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 10 July 2024]; 9(3) : 488-497. Available from: https://ijariie.com/AdminUploadPdf/A_detailed_examination_of__machine_learning_techniques_for_predicting_heart_illness_ijariie20017.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 7/10/2024 3:04:21 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
TEACHING WITH AI: LIVED EXPERIENCES, RESPONSIBILITIES, AND CHALLENGES OF TECH-TECHERSEducationJaneth M. Wariza Download
USER’S PERSPECTIVES ON AI- POWERED VIRTUAL ASSISTANT IN EDUCATION AND EVERYDAY LIFEEducational TechnologyRechelle M. Cardines Download
FLAP-AI BIRDArtificial Intelligence and Machine LearningRamya BN Download
AL-Powered healthcare chatbot for personalized medical assistance and wound classificationAI-Powered Healthcare SystemProf. Manjunath N Download
AI-Powered Resume Generation: A Streamlit-Based System Using PyTorch for Intelligent Career ProfilingComputer EngineeringAditi Meshram Download
AI based object color detection and sorting automationRobotics and AutomationBHUVAN THEJASWI T Download
Advanced knowledge on Synthetic Data Generation Using GANs for Medical Imaging ApplicationsArtificial IntelligenceRajeev Ranjan Download
Information on Cognitive AI Assistants for Visually Impaired Navigation SupportComputer ScienceNagaraj.H Download
Speech Emotion AI for Mental Health Monitoring in Call CentersComputer ScienceGowtham Kumar Download
Multi-Agent Reinforcement Learning for Coordinated Drone SwarmsComputer ScienceDeepak Gowda Download
AI-Based Soil Health Monitoring Using Remote Sensing and Deep LearningArtificial IntelligenceChethan Nagraj Download
Dynamic Criminal Network Link Forecasting via Deep Reinforcement LearningDeep LearningSrikant Tayade Download
Virtual Try-On-Enhancing Fashion Exploration for Gen-ZDeep Learning & Generative ModelsAnushka Mane Download
To Develop an EMG-Based Expert System for the Detection of Wrist Flexion and ExtensionArtificial Intelligence and Data ScienceRohit Mehta Download
LUNG CANCER PREDICTION AND DETECTION USING MLCOMPUTER SCIENCE & ENGINEERINGRASHMI T N Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.