Skin Disorders Prediction Using Deep Learning for Rural Health Monitoring
Аннотация
The number of people with a variety of illnesses and skin disorder conditions is growing quickly these days. When it comes to human skin, skin disorders are a major source of harm. Most of the population in the world suffering from skin disorders such skin diseases. The people lives in rural areas suffering from skin disorders such as urticaria, skin cancer, shingles, vitiligo, eczema, acne, urticaria, psoriasis and fungal infections. Medical technology growing in worldwide but when it comes to rural ares lagging. Early skin disorders monitoring is essential to save human health from this skin diseases. Skin disease causes skin cancer that spoil human health. Deep learning is best choice for human health monitoring. Convolutional Neural Network (CNN)and efficientNetB3 models are deep learning models used in. Propose research to predict skin diseases. EfficientNetB3 model produces highest accuracy 95% compared to CNN and other existing methods. Proposed research shows early prediction of skin diseases helps to save health from skin cancer and most useful for people lives in villages because lack of health care facilities in rural areas.