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

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This book focuses on teaching you how to Understand the V’s that matter in healthcare and why. Master applied machine learning for healthcare. Publish date: 27-Jan-2017. Conduct a guided tour of learning algorithms.

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Description
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 kwledge 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 kwledge. In order to deal with these realities, the authors propose new approaches to creating a kwledge-driven learning organization-based on new and existing strategies, methods and techlogies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.
Author Biography
Prashant Natarajan Iyer is Product Director of Healthcare Solutions at Oracle in the Health Sciences Global Business Unit. He has portfolio responsibility for precision medicine, population health, translational research, and convergence products. He is passionate about helping healthcare organizations maximize their technology investments to improve patient care, provider satisfaction, personal wellness, and health policy. Prior to joining Oracle in 2008, Prashant contributed in progressive career roles as product manager, emerging technologies specialist, and consultant at Healthways, McKesson, Siemens, and eCredit.com. Prashant received his master's degree in technical communications and linguistics from Auburn University (2005) and his undergraduate degree in chemical engineering from Mangalore University (1999). He is also a Stanford Certified Project Manager. Prashant is author or contributing author of three books on healthcare informatics, including this one. Others are Multi-Disciplinary Approach to Head and Neck Cancer (2017) and Implementing BI in your Healthcare Organization (2012). Prashant is Industry Advisor for Data Science and AI at UCSF/Center for Imaging of Neurodegenerative Disease in the San Francisco VA Center. He volunteers on the Board of Advisors for the Council for Affordable Health Coverage, Washington DC, and is currently serving as Co-Chair of HIMSS NorCal's Innovation Committee. Prashant lives in Livermore, CA, with his wife, Vishnu; daughter, Shivani; and Australian Cattle Dog, Simba. John Frenzel, MD, is the Chief Medical Informatics Officer at MD Anderson Cancer Center and a Professor in the Department of Anesthesiology and Perioperative Medicine. He received his medical degree from Baylor College of Medicine and completed his fellowship training in Cardiovascular and Thoracic Anesthesia at the Mayo Clinic in Rochester, Minnesota. In 2001, he received a Master's Degree in Informatics from the University of Texas Health Science Center Houston, School of Information Science. Dr. Frenzel has been active in applied Informatics throughout his career at MD Anderson. In addition to several clinical leadership roles, in 2010 he was asked to lead the development and installation of MD Anderson's third-generation Clinical Data Warehouse, which sought to bring together all institutional clinical and genomic data. In 2012, he was asked to help lead the Institution's effort to install the Epic EHR and integrate clinical data back into the institutional warehouse. John has published on various topics pertaining to clinical informatics. He is currently focused on the use of Time-Driven Activity-Based Costing (TDABC) to drive hospital revenue process optimization and labor costing efforts in preparation for bundled payments in oncology care. He is Board certified in both Anesthesiology and Informatics. John lives in Houston, Texas. Herb Smaltz is the Founder, President, and CEO of CIO Consult, LLC, a strategic IT consulting firm. Prior to founding CIO Consult, Herb founded Health Care DataWorks, a healthcare business intelligence software company that earned the distinction of being a Gartner Cool Vendor prior to being acquired in 2015. Prior to his consulting and entrepreneurial career, Herb served as the CIO of the Ohio State University Wexner Medical Center, a $1.7B, six-hospital academic medical center comprising more than 1100 beds and over 13,000 FTEs. Herb has over 25 years of experience in healthcare management, with all but four of those years as CIO/CKO at various sized organizations including a 20-bed community hospital, a 300-bed tertiary referral medical center, an 1100-bed tertiary referral medical center, a five-state region, a seven-country international region; and at the corporate headquarters of a $6.2B globally distributed integrated delivery system. Herb is a Fellow of the Healthcare Information & Management Systems Society (FHIMSS) and has served on the HIM

Key Features

Author(s)
Detlev H. Smaltz, John C. Frenzel, Prashant Natarajan
Publisher
Taylor & Francis Ltd
Date of Publication
23/02/2017
Language
English
Format
Hardback
ISBN-10
1138032638
ISBN-13
9781138032637
Subject
Medicine: General
eBay Product ID (ePID)
230164330

Publication Data

Place of Publication
London
Country of Publication
United Kingdom
Imprint
Routledge
Content Note
30 black & white illustrations

Dimensions

Weight
544 g
Width
178 mm
Height
254 mm

All listings for this product

item 1 NEW Demystifying Big Data and Machine Learning for Healthcare (Himss Book) -NEW Demystifying Big Data and Machine Learning for Healthcare (Himss Book)

AU $96.95

+AU $12.99 postage

item 2 Demystifying Big Data and Machine Learning for Healthcare Himss Book -Demystifying Big Data and Machine Learning for Healthcare Himss Book

AU $132.11

Free postage

item 3 Natarajan Prashant/ Frenzel...-Demystifying Big Data And Machine Learni BOOK NEW -Natarajan Prashant/ Frenzel...-Demystifying Big Data And Machine Learni BOOK NEW

AU $130.11

+AU $3.00 postage

item 4 Demystifying Big Data and Machine Learning for Healthcare by Detlev H. Smaltz Ha -Demystifying Big Data and Machine Learning for Healthcare by Detlev H. Smaltz Ha

AU $133.51

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item 5 Demystifying Big Data and Machine Learning for Healthcare Smaltz, Detlev H./ Fre -Demystifying Big Data and Machine Learning for Healthcare Smaltz, Detlev H./ Fre

AU $137.29

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item 6 NEW Demystifying Big Data and Machine Learning for Healthcare By Prashant Natara -NEW Demystifying Big Data and Machine Learning for Healthcare By Prashant Natara

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

Brand new: lowest price

AU $96.95

About this product

Description

Key Features

Publication Data

Dimensions

All listings for this product

item 1 NEW Demystifying Big Data and Machine Learning for Healthcare (Himss Book) -NEW Demystifying Big Data and Machine Learning for Healthcare (Himss Book)

item 2 Demystifying Big Data and Machine Learning for Healthcare Himss Book -Demystifying Big Data and Machine Learning for Healthcare Himss Book

item 3 Natarajan Prashant/ Frenzel...-Demystifying Big Data And Machine Learni BOOK NEW -Natarajan Prashant/ Frenzel...-Demystifying Big Data And Machine Learni BOOK NEW

item 4 Demystifying Big Data and Machine Learning for Healthcare by Detlev H. Smaltz Ha -Demystifying Big Data and Machine Learning for Healthcare by Detlev H. Smaltz Ha

item 5 Demystifying Big Data and Machine Learning for Healthcare Smaltz, Detlev H./ Fre -Demystifying Big Data and Machine Learning for Healthcare Smaltz, Detlev H./ Fre

item 6 NEW Demystifying Big Data and Machine Learning for Healthcare By Prashant Natara -NEW Demystifying Big Data and Machine Learning for Healthcare By Prashant Natara

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