Using rough sets to study expert behaviour in induction of labour

Pattison, Neil; Yeap, Wai Kiang; Parry, David

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Using rough sets to study expert behaviour in induction of labour

Parry, David; Yeap, Wai Kiang; Pattison, Neil

Cite this item: 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

Permanent link to OUR Archive version: http://hdl.handle.net/10523/1026

Date: 1999-12

Publisher: University of Otago

Pages: 9

Series: Information Science Discussion Papers Series

Series number: 99/26

Keywords: rough sets; obstetrics; knowledge acquisition

Research Type: Discussion Paper

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.

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