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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated Heart Arrhythmia Detection and Health Advisory System with Auto ML

C. Rahgul Krishna, M. Arunkumar, R. Ragul
1 citations
ECG Monitoring and Analysis
1.39
article

Automated Heart Arrhythmia Detection and Health Advisory System with Auto ML

C. Rahgul Krishna, M. Arunkumar, R. Ragul
article en
1 citations

Abstract

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.

Good health and well-being
Openalex Percentile: Top 19%
ECG Monitoring and Analysis
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.