Manuscript Number : IJSRST52310382

Heart Disease Prediction using Machine Learning

Authors(5) :-Prof. Sachin Sambhaji Patil, Vaibhavi Dhumal, Srushti Gavale, Himanshu Kulkarni, Shreyash Wadmalwar

Heart disease is a significant global health concern, accounting for a substantial number of deaths worldwide. Early prediction and detection of heart disease play a pivotal role in improving patient outcomes and reducing mortality rates. Machine learning techniques have demonstrated considerable potential in accurately predicting heart disease based on patient data. In this research paper, we propose a novel approach to heart disease prediction using machine learning algorithms, with a particular focus on creating a user-friendly graphical user interface (GUI) for enhanced accessibility and ease of use. The proposed approach leverages a diverse dataset encompassing demographic information, medical history, laboratory results, and diagnostic tests, providing a comprehensive view of a patient's health status. Multiple state-of-the-art machine learning algorithms, including logistic regression, support vector machines, random forests, and artificial neural networks, are employed to build robust prediction models. These models are trained, validated, and evaluated using appropriate performance metrics to ensure accuracy and reliability. To facilitate practical implementation, a user-friendly GUI is designed to provide an intuitive interface for healthcare professionals and individuals without extensive programming or machine learning expertise.

Heart disease, Graphical User Interface, Machine Learning, Logistic Regression, KNN, accuracy

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Publication Details

Published in : Volume 10 | Issue 3 | May-June 2023
Date of Publication : 2023-05-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 398-404
Manuscript Number : IJSRST52310382
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Prof. Sachin Sambhaji Patil, Vaibhavi Dhumal, Srushti Gavale, Himanshu Kulkarni, Shreyash Wadmalwar, " Heart Disease Prediction using Machine Learning", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 10, Issue 3, pp.398-404, May-June-2023. Available at doi : https://doi.org/10.32628/IJSRST52310382    
Journal URL : https://ijsrst.com/IJSRST52310382
Citation Detection and Elimination     |      | |
  • C. Boukhatem, H. Y. Youssef and A. B. Nassif, "Heart Disease Prediction Using Machine Learning," 2022 Advances in Science and Engineering Technology International Conferences (ASET), Dubai, United Arab Emirates, 2022, pp. 1-6, doi: 10.1109/ASET53988.2022.9734880.
  • S. Ouyang, "Research of Heart Disease Prediction Based on Machine Learning," 2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), Wuhan, China, 2022, pp. 315-319, doi: 10.1109/AEMCSE55572.2022.00071.
  • G. Shanmugasundaram, V. M. Selvam, R. Saravanan and S. Balaji, "An Investigation of Heart Disease Prediction Techniques," 2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA), Pondicherry, India, 2018, pp. 1-6, doi: 10.1109/ICSCAN.2018.8541165.
  • P. S. Sangle, R. M. Goudar and A. N. Bhute, "Methodologies and Techniques for Heart Disease Classification and Prediction," 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2020, pp. 1-6, doi: 10.1109/ICCCNT49239.2020.9225673.
  • M. A. Jabbar and S. Samreen, "heart disease prediction system based on hidden naïve bayes classifier," 2016 International Conference on Circuits, Controls, Communications and Computing (I4C), Bangalore, India, 2016, pp. 1-5, doi: 10.1109/CIMCA.2016.8053261.
  • "GUI based Heart Disease Prediction system using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.f289-f300, July-2022
    • " target="_blank"> BibTeX     |
  • C. Boukhatem, H. Y. Youssef and A. B. Nassif, "Heart Disease Prediction Using Machine Learning," 2022 Advances in Science and Engineering Technology International Conferences (ASET), Dubai, United Arab Emirates, 2022, pp. 1-6, doi: 10.1109/ASET53988.2022.9734880.
  • S. Ouyang, "Research of Heart Disease Prediction Based on Machine Learning," 2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), Wuhan, China, 2022, pp. 315-319, doi: 10.1109/AEMCSE55572.2022.00071.
  • G. Shanmugasundaram, V. M. Selvam, R. Saravanan and S. Balaji, "An Investigation of Heart Disease Prediction Techniques," 2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA), Pondicherry, India, 2018, pp. 1-6, doi: 10.1109/ICSCAN.2018.8541165.
  • P. S. Sangle, R. M. Goudar and A. N. Bhute, "Methodologies and Techniques for Heart Disease Classification and Prediction," 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2020, pp. 1-6, doi: 10.1109/ICCCNT49239.2020.9225673.
  • M. A. Jabbar and S. Samreen, "heart disease prediction system based on hidden naïve bayes classifier," 2016 International Conference on Circuits, Controls, Communications and Computing (I4C), Bangalore, India, 2016, pp. 1-5, doi: 10.1109/CIMCA.2016.8053261.
  • "GUI based Heart Disease Prediction system using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.f289-f300, July-2022
    • " target="_blank">RIS     |
  • C. Boukhatem, H. Y. Youssef and A. B. Nassif, "Heart Disease Prediction Using Machine Learning," 2022 Advances in Science and Engineering Technology International Conferences (ASET), Dubai, United Arab Emirates, 2022, pp. 1-6, doi: 10.1109/ASET53988.2022.9734880.
  • S. Ouyang, "Research of Heart Disease Prediction Based on Machine Learning," 2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), Wuhan, China, 2022, pp. 315-319, doi: 10.1109/AEMCSE55572.2022.00071.
  • G. Shanmugasundaram, V. M. Selvam, R. Saravanan and S. Balaji, "An Investigation of Heart Disease Prediction Techniques," 2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA), Pondicherry, India, 2018, pp. 1-6, doi: 10.1109/ICSCAN.2018.8541165.
  • P. S. Sangle, R. M. Goudar and A. N. Bhute, "Methodologies and Techniques for Heart Disease Classification and Prediction," 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2020, pp. 1-6, doi: 10.1109/ICCCNT49239.2020.9225673.
  • M. A. Jabbar and S. Samreen, "heart disease prediction system based on hidden naïve bayes classifier," 2016 International Conference on Circuits, Controls, Communications and Computing (I4C), Bangalore, India, 2016, pp. 1-5, doi: 10.1109/CIMCA.2016.8053261.
  • "GUI based Heart Disease Prediction system using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.f289-f300, July-2022
    • " target="_blank">CSV

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