Health Care Prediction System Using Deep Learning

Health Care Prediction System Using  Deep Learning

Daniel A ,  Karthick V , Salman Faroz S T ,  Hemalatha V , Gomathi P (Dean)

Computer Science and Engineering,

N.S.N. College of Engineering and Technology- Anna University.

Abstract

Annually, approximately 12 million people worldwide suffer due to the misdiagnosis of diseases. To tackle this critical issue, a novel approach for early disease detection is proposed, encompassing conditions such as pneumonia, diabetic retinopathy, and more. Patients can assess disease severity based on the provided medical reports, enabling predictions of mild, moderate, severe, or proliferative stages. Leveraging deep learning models, this system empowers individuals to accurately predict the likelihood of these diseases. The primary targets of this model are patients and hospitals, benefitting from unique image processing techniques that ensure higher accuracy. Building upon the success of existing deep learning models for diabetic retinopathy and pneumonia, the proposed system holds promising potential for advancing disease diagnosis and improving patient outcomes.

Keywords- Deep learning model, Deep Convolutional neural network, Image processing, Artificial intelligence.