Role of Deep Learning in a Secure Telemedicine System with a Case Study of Heart Disease Prediction

In this modern world where everything is over Internet and everything is available at our fingertips. However, our health system is still dealing with the physical presence even when a person needs just a routine checkup. There physical presence or real time interaction is required with the doctor. These days everything can be done by the machines itself. It is possible through deep learning where we train our system with the help of huge amounts of data. There a person, i.e., a patient can check his/ her health-related issue directly. Deep learning is a method where we detect the results or symptoms according to the previously fetched data. In this paper, we discuss about the use of deep learning-based secure scheme for a telemedicine system. Here we also get the security of the healthcare data due to the deployment of authentication and key establishment process. It can be useful in emergency medical conditions, i.e., especially in rural areas and disaster affected areas.