Intelligent Heart Disease Detector System Using Predictive Analytics

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.

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2025-11-24
DOI
https://doi.org/10.64388/irev9i5-1712327
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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Intelligent Heart Disease Detector System Using Predictive Analytics

Iconic Research and Engineering Journals
ECG Monitoring and Analysis
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Intelligent Heart Disease Detector System Using Predictive Analytics

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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.

Iconic Research and Engineering JournalsVol. 9(5)
Openalex Percentile: Top 47%
ECG Monitoring and Analysis
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