Automated Heart Arrhythmia Detection and Health Advisory System with Auto ML
The advanced AutoML platform shows exceptional results in heart arrhythmia detection using deep learning technologies which reach 98% accuracy. Our evaluation methods show that the system detects 98% of events while missing only 2.8% with an F1-score of 97.8%. Our product stimulates patient involvement with its real-time ECG tool as well as customized healthcare services. Users connect more actively by 30%. Our system helps doctors see more patients each day by saving 40% of planning time and creating readable records to watch patients' heart health. The system works well with healthcare procedures while keeping patient data safe and following healthcare rules. In many patient care settings this platform shows problems in the cardiovascular system sooner which leads to better management and enhanced health results for patients. This system harnesses analytical tools and creates meaningful results to substantially improve cardiovascular healthcare delivery. The system identifies patterns based on advanced machine learning technology so it improves its accuracy and performance in every medical setting.
Authors
- C. Rahgul Krishna
- M. Arunkumar
- R. Ragul
Publication Details
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1109/incacct65424.2025.11011334
- Citations
- 1
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.39