Using rough sets to study expert behaviour in induction of labour
Parry, David; Yeap, Wai Kiang; Pattison, Neil

View/ Open
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
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.
Date:
1999-12
Publisher:
University of Otago
Pages:
9
Series number:
99/26
Keywords:
rough sets; obstetrics; knowledge acquisition
Research Type:
Discussion Paper
Collections
- Health Informatics Programme [12]
- Information Science [497]
- Computer Science [89]
- Discussion Paper [447]