An Innovation Development for Deep Learning Model for Smart Health Monitoring in Winter Based Diseases
S Gayathri, R Gayathri, Shaik Mohammad Rafee, D.M. Vijaya Lakshmi, Maganti Syamala, Chairma Lakshmi K R
Abstract
In general, a variety of diseases affect the human body during winter due to excess moisture and cold. These attacks include viral, bacterial, and fungal infections. If left unmanaged, they can be left astray and lose the right path. There is a need to pay more attention to proper disease diagnosis as there is a need for proper treatment for this. Thus doctors are forced to continue to give people a variety of advice. These minor ailments make it difficult to care for life-threatening patients. And these diseases are also seen as co-morbidities with other diseases. In this paper, a method is proposed to categorize various winter ailments on the basis of in-depth learning and to find a cure for them. Its special feature is that it keeps the symptoms of the disease and predicts its nature and its prevention methods. Will recommend treatment methods based on those data. Thus the system is designed so that humans can do the necessary treatments or first aid for minor ailments themselves