| 000 | 03763nam a22005655i 4500 | ||
|---|---|---|---|
| 999 | _c13617 _d13617 | ||
| 001 | 978-3-319-65012-8 | ||
| 003 | DE-He213 | ||
| 005 | 20211213110603.0 | ||
| 008 | 170812s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319650128 | ||
| 040 | _cAIKTC-KRRC | ||
| 041 | _aENG | ||
| 072 | 7 | _aUYQ _2bicssc | |
| 072 | 7 | _aTEC009000 _2bisacsh | |
| 072 | 7 | _aUYQ _2thema | |
| 082 | 0 | 4 | _a006.3 _223 | 
| 100 | 1 | _aForbes, David E. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | _aOntology Engineering Applications in Healthcare and Workforce Management Systems _h[electronic resource] / | 
| 250 | _a1st ed. 2018. | ||
| 264 | 1 | _aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. | |
| 300 | _aXIII, 103 p. 44 illus., 41 illus. in color. _bCard Paper | ||
| 336 | _atext _btxt _2rdacontent | ||
| 337 | _acomputer _bc _2rdamedia | ||
| 338 | _aonline resource _bcr _2rdacarrier | ||
| 347 | _atext file _bPDF _2rda | ||
| 490 | 1 | _aStudies in Systems, Decision and Control, _x2198-4182 ; _v123 | |
| 520 | _aLooking 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 | _aComputer Engineering _94622 | |
| 653 | _aComputational Intelligence. | ||
| 653 | _aHealth Informatics. | ||
| 653 | _aArtificial Intelligence. | ||
| 700 | 1 | _aWongthongtham, Pornpit. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | _aTerblanche, Chamonix. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | _aPakdeetrakulwong, Udsanee. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 | _iPrinted edition: _z9783319650111 | 
| 776 | 0 | 8 | _iPrinted edition: _z9783319650135 | 
| 776 | 0 | 8 | _iPrinted edition: _z9783319879253 | 
| 830 | 0 | _aStudies in Systems, Decision and Control, _x2198-4182 ; _v123 | |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-65012-8 _zClick here to access eBook in Springer Nature platform. (Within Campus only.) | 
| 942 | _cEBOOKS _2ddc | ||