國立高雄大學圖資館 |

Language: English

Back

Big data in healthcareextracting kno...

Amirian, Pouria.

Big data in healthcareextracting knowledge from point-of-care machines /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data in healthcareedited by Pouria Amirian, Trudie Lang, Francois van Loggerenberg.
Reminder of title:	extracting knowledge from point-of-care machines /
other author:	Amirian, Pouria.
Published:	Cham :Springer International Publishing :2017.
Description:	vii, 100 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Medical informatics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-62990-2
ISBN:	9783319629902$q(electronic bk.)

Big data in healthcareextracting knowledge from point-of-care machines /
Big data in healthcareextracting knowledge from point-of-care machines /[electronic resource] :edited by Pouria Amirian, Trudie Lang, Francois van Loggerenberg. - Cham :Springer International Publishing :2017. - vii, 100 p. :ill., digital ;24 cm. - SpringerBriefs in pharmaceutical science & drug development,1864-8118. - SpringerBriefs in pharmaceutical science & drug development..

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?

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.

ISBN: 9783319629902$q(electronic bk.)

Standard No.: 10.1007/978-3-319-62990-2doiSubjects--Topical Terms:

196487
Medical informatics.

LC Class. No.: R858

Dewey Class. No.: 610.285

Big data in healthcareextracting knowledge from point-of-care machines /
LDR:02072nmm a2200325 a 4500 001 522410
003 DE-He213
005 20180208135951.0
006 m d
007 cr nn 008maaau
008 180521s2017 gw s 0 eng d
020 $a 9783319629902$q(electronic bk.)
020 $a 9783319629889$q(paper)
024 7 $a 10.1007/978-3-319-62990-2 $2 doi
035 $a 978-3-319-62990-2
040 $a GP $c GP
041 0 $a eng
050 4 $a R858
072 7 $a TDCW $2 bicssc
072 7 $a MED072000 $2 bisacsh
082 0 4 $a 610.285 $2 23
090 $a R858 $b .B592 2017
245 0 0 $a Big data in healthcare $h [electronic resource] : $b extracting knowledge from point-of-care machines / $c edited by Pouria Amirian, Trudie Lang, Francois van Loggerenberg.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a vii, 100 p. : $b ill., digital ; $c 24 cm.
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?
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 Medical informatics. $3 196487
650 0 $a Big data. $3 609582
650 0 $a Data mining. $3 184440
650 0 $a Medicine $x Data processing. $3 199437
650 1 4 $a Biomedicine. $3 273648
650 2 4 $a Pharmaceutical Sciences/Technology. $3 338426
650 2 4 $a Health Informatics. $3 274212
700 1 $a Amirian, Pouria. $3 793050
700 1 $a Lang, Trudie. $3 793051
700 1 $a Van Loggerenberg, Francois. $3 793052
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in pharmaceutical science & drug development. $3 557876
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-62990-2
950 $a Medicine (Springer-11650)