Health Care Prediction System Using Deep Learning

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 severity based on provided medical reports, enabling predictions mild, moderate, severe, or proliferative stages. Leveraging deep learning models, system empowers individuals accurately predict likelihood these The primary targets model are patients hospitals, benefitting from unique image processing techniques that ensure higher accuracy. Building upon success existing models retinopathy proposed holds promising potential advancing diagnosis improving patient outcomes. Keywords- Deep model, Convolutional neural network, Image processing, Artificial intelligence.