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Ontology Engineering Applications in Healthcare and Workforce Management Systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Ontology Engineering Applications in Healthcare and Workforce Management Systems/ by David E Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong.
作者:	Forbes, David E.
其他作者:	Wongthongtham, Pornpit.
面頁冊數:	XIII, 103 p. 44 illus., 41 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-65012-8
ISBN:	9783319650128

Ontology Engineering Applications in Healthcare and Workforce Management Systems
Forbes, David E.

Ontology Engineering Applications in Healthcare and Workforce Management Systems[electronic resource] /by David E Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong. - 1st ed. 2018. - XIII, 103 p. 44 illus., 41 illus. in color.online resource. - Studies in Systems, Decision and Control,1232198-4182 ;. - Studies in Systems, Decision and Control,27.

Current Issues -- Information Technology Challenges and Opportunities -- Ontology Engineering -- Patient Practitioner Assistive Communications Ontology -- Cross-cultural Healthcare Communication System -- Employer Demand Ontology -- Open Issue and Concluding Remarks.

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:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Ontology Engineering Applications in Healthcare and Workforce Management Systems
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