語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
A Cloud Computing Based Platform for...
~
Guo, Yunyong.
FindBook
Google Book
Amazon
博客來
A Cloud Computing Based Platform for Geographically Distributed Health Data Mining.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A Cloud Computing Based Platform for Geographically Distributed Health Data Mining./
作者:
Guo, Yunyong.
面頁冊數:
98 p.
附註:
Source: Masters Abstracts International, Volume: 52-06.
Contained By:
Masters Abstracts International52-06(E).
標題:
Health care management. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MS26422
ISBN:
9780499264220
A Cloud Computing Based Platform for Geographically Distributed Health Data Mining.
Guo, Yunyong.
A Cloud Computing Based Platform for Geographically Distributed Health Data Mining.
- 98 p.
Source: Masters Abstracts International, Volume: 52-06.
Thesis (M.Sc.)--University of Victoria (Canada), 2013.
With cloud computing emerging in recent years, more and more interest has been sparked from a variety of institutions, organizations and individual users, as they intend to take advantage of web applications to share a huge amount of public and private data and information in a more affordable way and using a reliable IT architecture. In the area of healthcare, medical and health information systems based on cloud computing are desired, in order to realize the sharing of medical data and health information, coordination of clinical service, along with effective and cost-contained clinical information system infrastructure via the implementation of a distributed and highlyintegrated platform. The objective of this study is to discuss the challenges of adopting cloud computing for collaborative health research information management and provide recommendations to deal with corresponding challenges. More specially, the study will propose a cloud computing based platform according to recommendations. The platform can be used to bring together health informatics researchers from the different geographical locations to share medical data for research purposes, for instance, data mining used for improving liver cancer early detection and treatment. Finding from a literature review will be discussed to highlight challenges of applying cloud computing in a wide range of areas, and recommendations will be paired with each challenge. A proof of concept prototype research methodology will be employed to illustrate the proposed cross national cloud computing model for geographically distributed health data mining applied to a health informatics research.
ISBN: 9780499264220Subjects--Topical Terms:
2122906
Health care management.
A Cloud Computing Based Platform for Geographically Distributed Health Data Mining.
LDR
:02544nmm a2200289 4500
001
2064620
005
20151115152202.5
008
170521s2013 eng d
020
$a
9780499264220
035
$a
(MiAaPQ)AAIMS26422
035
$a
AAIMS26422
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Guo, Yunyong.
$3
3179233
245
1 2
$a
A Cloud Computing Based Platform for Geographically Distributed Health Data Mining.
300
$a
98 p.
500
$a
Source: Masters Abstracts International, Volume: 52-06.
500
$a
Adviser: Alex Kuo.
502
$a
Thesis (M.Sc.)--University of Victoria (Canada), 2013.
520
$a
With cloud computing emerging in recent years, more and more interest has been sparked from a variety of institutions, organizations and individual users, as they intend to take advantage of web applications to share a huge amount of public and private data and information in a more affordable way and using a reliable IT architecture. In the area of healthcare, medical and health information systems based on cloud computing are desired, in order to realize the sharing of medical data and health information, coordination of clinical service, along with effective and cost-contained clinical information system infrastructure via the implementation of a distributed and highlyintegrated platform. The objective of this study is to discuss the challenges of adopting cloud computing for collaborative health research information management and provide recommendations to deal with corresponding challenges. More specially, the study will propose a cloud computing based platform according to recommendations. The platform can be used to bring together health informatics researchers from the different geographical locations to share medical data for research purposes, for instance, data mining used for improving liver cancer early detection and treatment. Finding from a literature review will be discussed to highlight challenges of applying cloud computing in a wide range of areas, and recommendations will be paired with each challenge. A proof of concept prototype research methodology will be employed to illustrate the proposed cross national cloud computing model for geographically distributed health data mining applied to a health informatics research.
590
$a
School code: 0244.
650
4
$a
Health care management.
$3
2122906
650
4
$a
Computer science.
$3
523869
650
4
$a
Health sciences.
$3
3168359
690
$a
0769
690
$a
0984
690
$a
0566
710
2 0
$a
University of Victoria (Canada).
$b
Health Information Science.
$3
3179234
773
0
$t
Masters Abstracts International
$g
52-06(E).
790
$a
0244
791
$a
M.Sc.
792
$a
2013
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MS26422
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9297278
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入