A COMPREHENSIVE SURVEY ON ENHANCED HEART DISEASE DIAGNOSIS AND PREDICTION USING CONVOLUTIONAL NEURAL NETWORKS
Abstract— Heart disease- another deadly scourge Aglobal insistence on the very early detection. The currentproject is focusing on deep learning, especiallyConvolutional Neural Network(CNN), in the diagnosis ofheart disease from medical imaging techniques concerningECG data. The CNN was trained using a labelled datasetand consisted of convolutional and pooling layers,followed by classification layers. It performed quite wellin distinguishing pathological from healthy states, thusindicating a potential in employing AI image analysis forautomating the detection of heart disease pathologies,aiding a medical doctor in diagnosis, and ultimatelyenhancing the medical care given and the outcomes of thepatient.
Institutions
- Sri Manakula Vinayagar Educational Trust (IN)
- Sri Manakula Vinayagar Medical College and Hospital (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-17
- DOI
- https://doi.org/10.5281/zenodo.15680181
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00