Publisher: Scrivener Wiley

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.