Intelligent Heart Disease Detector System Using Predictive Analytics

• Author(s): Sreejaa R T; Vidya Bharathi S; Sundarabalan D T; Vishal Dharsan S R; Vikas S
• Paper ID: 1712327
• Page: 1691-1697
• Published Date: 24-11-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 5 November-2025
• DOI: https://doi.org/10.64388/IREV9I5-1712327

Abstract

With the increasing prevalence of cardiovascular diseases, efficient patient management has become a critical aspect of modern healthcare. This paper presents HeartCare, a web-based patient management system designed for cardiologists to monitor, evaluate, and communicate with patients efficiently. The system employs a role-based login mechanism for doctors and patients, provides a dynamic patient dashboard with search and filtering capabilities, and integrates an ECG analysis tool for real-time diagnostics. Built using HTML, Tailwind CSS, and Alpine.js, HeartCare offers a responsive and visually intuitive interface, supporting effective clinical decision-making. The system also incorporates a prototype messaging module, enabling secure communication between doctors and patients. This paper outlines the system architecture, implementation methodology, feature set, and potential benefits for healthcare professionals.

Keywords

Role-Based Access, Patient Dashboard, Cardiovascular Diseases, ECG Analysis, Web Application, Frontend Interactivity

Citations

IRE Journals:
Sreejaa R T, Vidya Bharathi S, Sundarabalan D T, Vishal Dharsan S R, Vikas S "Intelligent Heart Disease Detector System Using Predictive Analytics" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1691-1697 https://doi.org/10.64388/IREV9I5-1712327

IEEE:
Sreejaa R T, Vidya Bharathi S, Sundarabalan D T, Vishal Dharsan S R, Vikas S "Intelligent Heart Disease Detector System Using Predictive Analytics" Iconic Research And Engineering Journals, vol. 9, no. 5, Nov. 2025, doi: https://doi.org/10.64388/IREV9I5-1712327

APA:
Sreejaa R T, Vidya Bharathi S, Sundarabalan D T, Vishal Dharsan S R, Vikas S (2025). Intelligent Heart Disease Detector System Using Predictive Analytics. Iconic Research And Engineering Journals, 9(5). doi: https://doi.org/10.64388/IREV9I5-1712327

MLA:
Sreejaa R T, Vidya Bharathi S, Sundarabalan D T, Vishal Dharsan S R, Vikas S "Intelligent Heart Disease Detector System Using Predictive Analytics" Iconic Research And Engineering Journals, vol. 9, no. 5, Nov. 2025. Crossref, https://doi.org/10.64388/IREV9I5-1712327

BibTeX

@article{1712327,
author = {Sreejaa R T, Vidya Bharathi S, Sundarabalan D T, Vishal Dharsan S R, Vikas S},
title = {Intelligent Heart Disease Detector System Using Predictive Analytics},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {5},
pages = {1691-1697},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712327.pdf},
abstract = {With the increasing prevalence of cardiovascular diseases, efficient patient management has become a critical aspect of modern healthcare. This paper presents HeartCare, a web-based patient management system designed for cardiologists to monitor, evaluate, and communicate with patients efficiently. The system employs a role-based login mechanism for doctors and patients, provides a dynamic patient dashboard with search and filtering capabilities, and integrates an ECG analysis tool for real-time diagnostics. Built using HTML, Tailwind CSS, and Alpine.js, HeartCare offers a responsive and visually intuitive interface, supporting effective clinical decision-making. The system also incorporates a prototype messaging module, enabling secure communication between doctors and patients. This paper outlines the system architecture, implementation methodology, feature set, and potential benefits for healthcare professionals.},
keywords = {Role-Based Access, Patient Dashboard, Cardiovascular Diseases, ECG Analysis, Web Application, Frontend Interactivity},
month = {November}
}