Big Data in Healthcare : Extracting Knowledge from Point-of-Care Machines

This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the solutions...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Amirian, Pouria. (Editor), Lang, Trudie. (Editor), van Loggerenberg, Francois. (Editor)
Format: eBook
Language: English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Series: SpringerBriefs in Pharmaceutical Science & Drug Development,
Subjects:
Medicine.
Pharmaceutical technology.
Health informatics.
elektronické knihy
electronic books
ISBN: 9783319629902
Physical Description: VII, 100 p. 46 illus., 45 illus. in color. online resource.

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Table of contents

LEADER 02735nam a22004215i 4500
001 101502
003 CZ-ZlUTB
005 20240914113439.0
006 m o d
007 cr nn 008mamaa
008 170918s2017 gw | s |||| 0|eng d
020 |a 9783319629902 
024 7 |a 10.1007/978-3-319-62990-2  |2 doi 
245 1 0 |a Big Data in Healthcare :  |b Extracting Knowledge from Point-of-Care Machines /  |c edited by Pouria Amirian, Trudie Lang, Francois van Loggerenberg. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a VII, 100 p. 46 illus., 45 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a SpringerBriefs in Pharmaceutical Science & Drug Development,  |x 1864-8118 
505 0 |a Introduction - Improving Healthcare with Big Data -- Data Science and Analytics -- Big Data and Big Data Technologies -- Big Data Analytics for Extracting Disease Surveillance Information: An Untapped Opportunity -- Ebola and Twitter. What Insights Can Public Health Draw from Social Media? 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the solutions for the mentioned issues and challenges? What type of analytics skills are required in health care? What big data technologies and tools can be used efficiently with data generated from POC devices? This book shows how it is feasible to store vast numbers of anonymous data and ask highly specific questions that can be performed in real-time to give precise and meaningful evidence to guide public health policy. 
650 0 |a Medicine. 
650 0 |a Pharmaceutical technology. 
650 0 |a Health informatics. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Amirian, Pouria.  |e editor. 
700 1 |a Lang, Trudie.  |e editor. 
700 1 |a van Loggerenberg, Francois.  |e editor. 
710 2 |a SpringerLink (Online service) 
776 0 8 |i Printed edition:  |z 9783319629889 
830 0 |a SpringerBriefs in Pharmaceutical Science & Drug Development,  |x 1864-8118 
856 4 0 |u https://proxy.k.utb.cz/login?url=http://dx.doi.org/10.1007/978-3-319-62990-2  |y Plný text 
992 |c NTK-SpringerMED 
999 |c 101502  |d 101502 
993 |x NEPOSILAT  |y EIZ 

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