Book: "Clinical Intelligence - The Big Data Analytics Revolution in Healthcare" Released

Washington, DC, December 30, 2014 --(PR.com)-- “Clinical Intelligence: The Big Data Analytics Revolution in Healthcare” is a book that offers a comprehensive overview of big data analytics and its applications in healthcare. The book provides two views into healthcare data analytics. The first part is devoted to data governance and strategy perspective. It covers data integration models and how big data fits into healthcare analytics. In the second part, the book offers predictive modeling, technical description of classification, machine learning, neural networks and a novel approach to improve accuracy. While the book is with a healthcare data in mind, its big data principles and predictive modeling concepts apply to advanced analytics in general.

The most compelling aspects of the book are a list of external healthcare data sources and data representation models using info-graphics. “Whether you use Tableau or Talend, clinical decision support or clinical prediction rules, Hadoop or Hive, this book brings the key concepts in big data to healthcare analytics," said the author, Peter Ghavami.

From the big data analytics perspective, this book bridges the gap between information technology professionals, healthcare leadership and big data scientists. The book answers many questions like:

What is the difference between big data analytics and business intelligence? How do I build a big data analytics team? What are the right architectures for big data given my existing investments in data warehouses? What are the big data use cases in healthcare?

The book includes about 40 big data analytics use cases that illustrate how payers and providers can leverage from big data analytics.

You can get the book here: http://www.amazon.com/Clinical-Intelligence-Analytics-Revolution-Healthcare/dp/1500428590/.