IoT Enabled Smart Healthcare Assistance for Early Prediction of Health Abnormality

Smart healthcare is an important and emerging sector which gained a lot of significance with advanced technology. Continuous monitoring and timely reporting of health conditions is a key factor for diagnosing as well as treating the disease at early stages. This is accomplished with the development of IoT (Internet of Things) enabled smart healthcare assistance. Once medical data is stored in cloud it allows remote access and data sharing. The intelligent analysis is performed on the vital signals and communicated through smart Apps. This gives an end-to-end solution for smart healthcare. The main impact of this research is that patients can use the developed smart App for real-time health monitoring with future predictions via their mobile phones. This paper presents smart system with integration of IoT, Cloud Computing (CC) and Machine Learning (ML) techniques for early prediction of health abnormality.