About The Book

As technology evolves, the role of big data and data science is not unheard of. It is used in various domains like healthcare, science, education, and gaming, and many more. The ease of understanding unstructured data through tools and techniques of data science have given an armor of success to data scientists. Hidden patterns, latent structures and other unseen information is carefully extracted through data science tools and techniques. These tools and techniques are based on supervised and unsupervised data engineering which involves an amalgamation of machine learning and artificial intelligence techniques.

The main aim of this book is to bring together the ideas, concepts, paradigms, tools, methods and techniques which span across the supervised and unsupervised engineering specifically for medical data engineering. The data derived from customers, patients is raw and unstructured. To make this data actionable , connectivism is required. This is achieved using various techniques of supervised and unsupervised learning.

The ease of deployment and ease of understanding makes the supervised and unsupervised data engineering a fascinating tool in medical and healthcare. The patients , as now, tested positive for CoVid -19 have shown various types of symptoms. This data when analyzed across population can give useful insights and in development of counter active and proactive strategies. This is also useful in giving personalized health care services to those in need such as differently abled, elders etc.

This book aims to publish original scientific research thus bringing researchers, academicians, scholars, medical professionals to a platform of information exchange in the field of medical and healthcare. Thus developing solutions to dynamic problems using supervised and unsupervised data engineering.