Automatic generation of spoken dialogue from medical plans and ontologies Export

@article{citeulike:2251305, abstract = {This paper presents some research undertaken as part of the EU-funded HOMEY project, into the application of intelligent dialogue systems to healthcare systems. The work presented here concentrates on the ways in which knowledge of underlying task structure (e.g., a medical guideline) can be combined with ontological knowledge (e.g., medical semantic dictionaries) to provide a basis for the automatic generation of flexible and re-configurable dialogue. This approach is next evaluated via a specific application that provides decision support to general practitioners to help determine whether or not a patient should be referred to a cancer specialist. The competence of the resulting dialogue application, its speech recognition performance, and dialogue performance are all evaluated to determine the applicability of this approach.}, address = {San Diego, USA}, author = {Beveridge, Martin and Fox, John}, citeulike-article-id = {2251305}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1217514}, citeulike-linkout-1 = {http://dx.doi.org/10.1016/j.jbi.2005.12.008}, citeulike-linkout-2 = {http://linkinghub.elsevier.com/retrieve/pii/S1532046406000037}, doi = {10.1016/j.jbi.2005.12.008}, issn = {1532-0464}, journal = {J. of Biomedical Informatics}, keywords = {dialogue-management, health}, month = {October}, number = {5}, pages = {482--499}, posted-at = {2009-06-22 17:27:01}, priority = {5}, publisher = {Elsevier Science}, title = {Automatic generation of spoken dialogue from medical plans and ontologies}, url = {http://dx.doi.org/10.1016/j.jbi.2005.12.008}, volume = {39}, year = {2006} }

TY - JOUR ID - citeulike:2251305 L3 - citeulike-article-id:2251305 N2 - This paper presents some research undertaken as part of the EU-funded HOMEY project, into the application of intelligent dialogue systems to healthcare systems. The work presented here concentrates on the ways in which knowledge of underlying task structure (e.g., a medical guideline) can be combined with ontological knowledge (e.g., medical semantic dictionaries) to provide a basis for the automatic generation of flexible and re-configurable dialogue. This approach is next evaluated via a specific application that provides decision support to general practitioners to help determine whether or not a patient should be referred to a cancer specialist. The competence of the resulting dialogue application, its speech recognition performance, and dialogue performance are all evaluated to determine the applicability of this approach. IS - 5 JF - J. of Biomedical Informatics SN - 1532-0464 AD - San Diego, USA EP - 499 TI - Automatic generation of spoken dialogue from medical plans and ontologies PB - Elsevier Science VL - 39 SP - 482 KW - dialogue-management KW - health AU - Beveridge, Martin AU - Fox, John PY - 2006/10// UR - http://dx.doi.org/10.1016/j.jbi.2005.12.008 ER -