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What is Heart Attack Risk Prediction via Retinal Analysis about?

This study develops a machine learning model using Recurrent Neural Networks (RNNs) to analyze retinal images for predicting heart disease, leveraging the connection between retinal vascular structure and cardiovascular health. The proposed methodology includes data collection, preprocessing, model development, and evaluation, aiming for a non-invasive and cost-effective diagnostic tool. If successful, this approach could enhance early detection and intervention in cardiovascular diseases, potentially impro

Author

admahaldar02

Language

EN