Demystifying Big Data and Machine Learning for Healthcare

Brief

Book

One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths  Become an expert in separating hype from reality  Understand the V’s that matter in healthcare and why  Harmonize the 4 C’s across little and big data Choose data fidelity over data quality Learn how to apply the NRF Framework  Master applied machine learning for healthcare  Conduct a guided tour of learning algorithms  Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs)