Application of Deep Learning with Wearable IoT in Healthcare Sector

In current busy lifestyle of human beings, good health condition is difficult to maintain due to changing food habits and environment. So, there is need to be aware about health condition. Due to lack of adequate information and resources current health support systems suffers inefficient diagnosis. To overcome these issues, wearable sensors Internet of things (IoT) platform and efficacy of machine learning results in better healthcare diagnosis. In this paper we proposed a unified model that is designed for disease diagnosis using deep learning model. This model is based on wearable IoT devices. The main objective of this paper is to identify the existing issues related with diagnosis system in healthcare sectors. The drawbacks of existing machine learning models are identified in this paper and proposed a model that is expected to result in more effective outcomes.