The transformation in digital information, its organization and information retrieval systems has led to rapid developments in various wearable devices as well as the enhancement of numerous health forecasting systems and mobile Apps. The health industry data and Internet of Things (IoT) plays a critical role in development of various health management systems and applications for the stakeholders of health industry.

Health industry data or streaming data generated by ubiquitous sensors cocooned into IoT require advance analytics to transform data into information. With the advancement in computing power, communications and techniques for data acquisition the need for advance data analytics is in great demand. The modelling and integration of IoT system helps in manufacturing the effective prediction system by analyzing the health industry data for suggestion of treatment and diagnosis, hospital management, health insurance company assessment.

The magical success of machine learning and deep learning has opened the door for advance analytics. Thus, the success of machine learning and deep learning has attracted the researchers from academics and industry to develop intelligent method through IoT to increase efficiency and accuracy for prediction in health industry.