Demystifying big data and machine learning for healthcare /
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Main Authors: | |
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Group Author: | ; |
Published: |
CRC Press,
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Publisher Address: | Boca Raton, FL : |
Publication Dates: | [2017] |
Literature type: | Book |
Language: | English |
Subjects: | |
Carrier Form: | xxvi, 183 pages : illustrations, forms ; 26 cm |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9781138032637 (hardback : alkaline paper) : 1138032638 (hardback : alkaline paper) |
Index Number: | R858 |
CLC: | R-058 |
Call Number: | R-058/N273 |
Contents: | Introduction / Herb Smaltz -- Healthcare and the Big Data V's / Prashant Natarajan -- Big Data: How to Get Started / John Frenzel -- Big Data: Challenges / John Frenzel -- Best Practices: Separating Myth from Realty / Prashant Natarajan -- Big Data Advanced Topics / John Frenzel and Herb Smaltz -- Applied Machine Learning for Healthcare / Prashant Natarajan and Bob Rogers -- Introduction to Case Studies / Prashant Natarajan -- Penn Medicine: Precision Medicine and Big Data / Brian Wells -- Ascension: Our Advanced Analytics Journey / Tony Byram -- University of Texas MD Anderson: Streaming Analytics / John Frenzel -- US Health Insurance Organization: Financial Reporting Analytics with Big Data / Marc Perlman, Larry Manno, and Shalin Saini -- CIAPM: California Initiative to Advance Precision Medicine / Elizabeth Baca -- University of California San Francisco: AI for Imaging of Neurological Emergencies / Pratik Mukherjee -- BayCare Health System: Actionable, Agile Analytics Using Data Variety / Apparsamy (Balaji) Balaji -- Arterys: Deep Learning for Medical Imaging / Carla Leibowitz. |