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

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Demystifying Big Data and Machine Learning for Healthcare,Hardcover by Natarajan. Condition is Brand new. Sent with eBay Postage Labels.

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Product Information

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

Publisher
Taylor & Francis Ltd
ISBN-13
9781138032637
eBay Product ID (ePID)
230164330

Product Key Features

Author
Prashant Natarajan, John C. Frenzel, Detlev H. Smaltz
Publication Name
Demystifying Big Data and Machine Learning for Healthcare
Format
Hardcover
Language
English
Subject
Medicine, Computer Science, Healthcare System
Publication Year
2017
Type
Textbook
Number of Pages
210 Pages

Dimensions

Item Height
254mm
Item Width
178mm
Item Weight
567g

Additional Product Features

Title_Author
John C. Frenzel, Detlev H. Smaltz, Prashant Natarajan
Country/Region of Manufacture
United Kingdom

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Picture 1 of 1

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

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Adult Learning & University

Permaculture: A Designer's Manual by Bill Mollison (Hardcover, 1988)

Australian Native Bee Book: Keeping Stingless Bee Hives for Pets, Pollination and Sugarbag Honey by Tim Heard (Paperback, 2015)

The Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by Adam Grubb, Annie Raser-Rowland (2012, Paperback)

Empire of the Summer Moon: Quanah Parker and the Rise and Fall of the Comanches, the Most Powerful Indian Tribe in American History by S.C. Gwynne (Paperback, 2011)

Botanical Field Guide by Stefan Mager (Fold-out book or chart, 2021)

Linux Basics For Hackers: Getting Started with Networking, Scripting, and Security in Kali by OccupyTheWeb (Paperback, 2018)

The Hundred Years' War on Palestine: A History of Settler Colonial Conquest and Resistance by Rashid I. Khalidi (Paperback, 2020)

Save on Adult Learning & University

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Netter Atlas of Human Anatomy: Classic Regional Approach

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