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
Ontology engineering applications in...
~
Forbes, David E.
FindBook
Google Book
Amazon
博客來
Ontology engineering applications in healthcare and workforce management systems
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Ontology engineering applications in healthcare and workforce management systems/ by David E Forbes ... [et al.].
其他作者:
Forbes, David E.
出版者:
Cham :Springer International Publishing : : 2018.,
面頁冊數:
xiii, 103 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Medicine - Information services. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-65012-8
ISBN:
9783319650128
Ontology engineering applications in healthcare and workforce management systems
Ontology engineering applications in healthcare and workforce management systems
[electronic resource] /by David E Forbes ... [et al.]. - Cham :Springer International Publishing :2018. - xiii, 103 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1232198-4182 ;. - Studies in systems, decision and control ;v.123..
Looking beyond the communications technology horizon and projecting future competency-specific employment demand, this book presents an evaluation of desirable information systems enhancements by integrating two disparate-domain computer ontologies. It provides readers a fresh solutions approach based on dynamic modeling and methodological contributions to philosophical and assistive communications system development in healthcare, addressing the need for both demand intelligence and practical work environment support. The pace of change in redefining occupation-specific employee resourcing needs is unrelenting and continues to accelerate. And the exponential growth in the demand for healthcare service delivery is correspondingly daunting. As such, the public and private sectors are faced with the challenge of sustaining credible relevant demand intelligence and recruitment practices, while integration, expansion and enrichment of ostensibly unconnected ontologies represent key R&D issues.
ISBN: 9783319650128
Standard No.: 10.1007/978-3-319-65012-8doiSubjects--Topical Terms:
881160
Medicine
--Information services.
LC Class. No.: R858
Dewey Class. No.: 610.285
Ontology engineering applications in healthcare and workforce management systems
LDR
:02019nmm a2200313 a 4500
001
2130931
003
DE-He213
005
20170815021321.0
006
m d
007
cr nn 008maaau
008
181005s2018 gw s 0 eng d
020
$a
9783319650128
$q
(electronic bk.)
020
$a
9783319650111
$q
(paper)
024
7
$a
10.1007/978-3-319-65012-8
$2
doi
035
$a
978-3-319-65012-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
R858
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
610.285
$2
23
090
$a
R858
$b
.O59 2018
245
0 0
$a
Ontology engineering applications in healthcare and workforce management systems
$h
[electronic resource] /
$c
by David E Forbes ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
xiii, 103 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in systems, decision and control,
$x
2198-4182 ;
$v
v.123
520
$a
Looking beyond the communications technology horizon and projecting future competency-specific employment demand, this book presents an evaluation of desirable information systems enhancements by integrating two disparate-domain computer ontologies. It provides readers a fresh solutions approach based on dynamic modeling and methodological contributions to philosophical and assistive communications system development in healthcare, addressing the need for both demand intelligence and practical work environment support. The pace of change in redefining occupation-specific employee resourcing needs is unrelenting and continues to accelerate. And the exponential growth in the demand for healthcare service delivery is correspondingly daunting. As such, the public and private sectors are faced with the challenge of sustaining credible relevant demand intelligence and recruitment practices, while integration, expansion and enrichment of ostensibly unconnected ontologies represent key R&D issues.
650
0
$a
Medicine
$x
Information services.
$3
881160
650
0
$a
Medicine
$x
Information technology.
$3
820170
650
1 4
$a
Engineering.
$3
586835
650
2 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Health Informatics.
$3
892928
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
890894
700
1
$a
Forbes, David E.
$3
3295978
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Studies in systems, decision and control ;
$v
v.123.
$3
3295979
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-65012-8
950
$a
Engineering (Springer-11647)
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
W9339666
電子資源
11.線上閱覽_V
電子書
EB R858
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