Healthcare analytics : from data to knowledge to healthcare improvement
Features of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and compr...
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Format: | eBook |
Language: | English |
Published: |
Hoboken, N.J. :
John Wiley & Sons,
[2016]
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Series: | Wiley series in operations research and management science.
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Subjects: | |
ISBN: | 9781118919408 |
Physical Description: | 1 online zdroj (xxiii, 602, [2] stran) : ilustrace (některé barevné). |
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245 | 0 | 0 | |a Healthcare analytics : |b from data to knowledge to healthcare improvement / |c Hui Yang, Eva K. Lee. |
264 | 1 | |a Hoboken, N.J. : |b John Wiley & Sons, |c [2016] | |
264 | 4 | |c ©2016 | |
300 | |a 1 online zdroj (xxiii, 602, [2] stran) : |b ilustrace (některé barevné). | ||
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490 | 1 | |a Wiley series in operations research and management science | |
504 | |a Obsahuje bibliografické odkazy a index. | ||
506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity | ||
520 | |a Features of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency. Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician-patient interactions; insurance claims; and the role of social media in healthcare. - Resumé vydavatel | ||
588 | 0 | |a Online resource; title from pdf title page (WileyOnlineLibrary, viewed March 20, 2017). | |
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655 | 9 | |a case studies |2 eczenas | |
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700 | 1 | |a Yang, Hui, |d 1981- |e editor. | |
700 | 1 | |a Lee, Eva K., |e author. | |
776 | 0 | 8 | |i Print version: |t Healthcare analytics. |d Hoboken, New Jersey : John Wiley & Sons, 2016 |z 9781118919392 |w (DLC) 2015047966 |w (OCoLC)907148412 |
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