This book seeks to promote the exploitation of data science in healthcare systems. The focus is
on advancing the automated analytical methods used to extract new knowledge from data for
healthcare applications. To do so the book draws on several interrelated disciplines
including machine learning big data analytics statistics pattern recognition computer
vision and Semantic Web technologies and focuses on their direct application to
healthcare.Building on three tutorial-like chapters on data science in healthcare the
following eleven chapters highlight success stories on the application of data science in
healthcare where data science and artificial intelligence technologies have proven to be very
promising.This book is primarily intended for data scientists involved in the healthcare or
medical sector. By reading this book they will gain essential insights into the modern data
science technologies needed to advance innovation for both healthcare businesses and patients.
A basic grasp of data science is recommended in order to fully benefit from this book.