Data Science and AI in IoT Based Smart Healthcare: Issues, Challenges and Case Study

IoT based applications such as smart healthcare, transportation, surveillance etc. lead to more convenient and healthy lifestyle to human being nowadays. Biosensors sense health vitals and send acquired data to cloud server for processing. These huge sensory health data need to be processed and analyzed efficiently and intelligently for knowledge extraction with high accuracy and low resource requirements. Here comes the inevitable role of artificial intelligence, machine learning and deep learning. Here a comprehensive study and analysis on application of IoT and AI in smart healthcare has been done to present recent developments in this emerging research domain supported with few case studies. Issues and challenges in dealing with big health data applying data science and data analytics have also been highlighted. Case studies help to get insight in recent developments on drug discovery, chronic disease prediction such as heart disease, kidney related ailments etc. applying ML, DL.