Using rough sets to study expert behaviour in induction of labour

dc.contributor.author	Parry, David	en_NZ
dc.contributor.author	Yeap, Wai Kiang	en_NZ
dc.contributor.author	Pattison, Neil	en_NZ
dc.date.copyright	1999-12	en_NZ
dc.identifier.citation	Parry, D., Yeap, W. K., & Pattison, N. (1999). Using rough sets to study expert behaviour in induction of labour (Information Science Discussion Papers Series No. 99/26). University of Otago. Retrieved from http://hdl.handle.net/10523/1026	en
dc.identifier.uri	http://hdl.handle.net/10523/1026
dc.description.abstract	The rate of induction of labour (IOL) is increasing, despite no obvious increase in the incidence of the major indications. However the rate varies widely between different centres and practitioners and this does not seem to be due to variations in patient populations. The IOL decision-making process of six clinicians was recorded and examined using hypothetical scenarios presented on a computer. Several rules were identified from a rough sets analysis of the data. These rules were compared to the actual practise of these clinicians in 1994 Initial tests of these rules show that they may form a suitable set for developing an expert system for the induction of labour.	en_NZ
dc.format.mimetype	application/pdf
dc.publisher	University of Otago	en_NZ
dc.relation.ispartofseries	Information Science Discussion Papers Series	en_NZ
dc.subject	rough sets	en_NZ
dc.subject	obstetrics	en_NZ
dc.subject	knowledge acquisition	en_NZ
dc.subject.lcsh	QA76 Computer software	en_NZ
dc.title	Using rough sets to study expert behaviour in induction of labour	en_NZ
dc.type	Discussion Paper	en_NZ
dc.description.version	Unpublished	en_NZ
otago.bitstream.pages	9	en_NZ
otago.date.accession	2010-11-12 02:27:37	en_NZ
otago.school	Information Science	en_NZ
otago.openaccess	Open
otago.place.publication	Dunedin, New Zealand	en_NZ
dc.identifier.eprints	1009	en_NZ
otago.school.eprints	Artificial Intelligence Research Group	en_NZ
otago.school.eprints	Health Informatics Research Group	en_NZ
otago.school.eprints	Information Science	en_NZ
otago.school.eprints	Computer Science	en_NZ
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otago.relation.number	99/26	en_NZ