Publication

Abstract : Artificial intelligence and cognitive computing have received significant attention in the recent past in almost all areas of human life. Healthcare is one such domain where the world is witnessing rapid developments incorporating artificial intelligence capabilities to assist medical professionals in diagnosing diseases, providing better treatments, and thus improving patient outcomes. The healthcare industry is now undergoing a revolution to bring cognitive computing capabilities that can process enormous volumes of data to make customized intelligent decisions and recommendations. A newly coined concept, “Health 4.0,” developed from Industry 4.0, denotes the fourth industrial revolution where the rapid change to technologies and social patterns is happening. This may result in better patient care systems, value-added services to patients, and most importantly, more cost-effective healthcare services to patients. Integrating technologies such as the Internet of Things (IoT), medical cyber-physical systems, augmented reality, machine learning, big data analytics, virtual reality, and blockchain enables many advanced healthcare capabilities to the existing systems. This chapter provides a systematic review of the literature on cognitive computing and big data for digital health that will be highly useful for researchers in understanding the trends and state-of-the-art cognitive computing approaches in this domain.