Intelligent Heart Disease Detector System Using Predictive Analytics

@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},
      doi = {https://doi.org/10.64388/IREV9I5-1712327}
  }