Demystifying Big Data and Machine Learning for Healthcare by Prashant Natarajan, John C. Frenzel, Detlev H. Smaltz (Hardcover, 2017)

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This book focuses on teaching you how to Master applied machine learning for healthcare. Understand the V's that matter in healthcare and why.

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Healthcare transformation requires us to continually look at new and better ways to manage insights - both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization's day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. 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 fi delity 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) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Product Identifiers

PublisherTaylor & Francis Ltd
ISBN-139781138032637
eBay Product ID (ePID)230164330

Product Key Features

Number of Pages210 Pages
LanguageEnglish
Publication NameDemystifying Big Data and Machine Learning for Healthcare
Publication Year2017
SubjectMedicine, Computer Science, Healthcare System
TypeTextbook
AuthorPrashant Natarajan, John C. Frenzel, Detlev H. Smaltz
FormatHardcover

Dimensions

Item Height254 mm
Item Weight567 g
Item Width178 mm

Additional Product Features

Country/Region of ManufactureUnited Kingdom
Title_AuthorJohn C. Frenzel, Detlev H. Smaltz, Prashant Natarajan

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