Abstract
Computer-assisted medical decision-making is becoming better known (Reggia, 1982) with technology advancing so quickly that even the legalities of using such systems are being examined (Arthur, 1986). However, all these systems must have rules and these rules are based on a theory or on extensive knowledge acquired in the field of the expert.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Further Reading
Implications of medical expert systems
Arthur, C. (1986) Who pays if you dial D for diagnosis but end up with death?, Computer Weekly, 10, 1, 28.
Bayesian classification systems: predicting the aetiology of stroke
Zagoria, R.J. and Reggia, J.A. (1983) Transferability of medical decision support systems based on Bayesian classification, Medical Decision Making, 3, 4, 501–9.
Introduction to Bayesian theory
Winkler, R.L. (1972) An Introduction to Bayesian Inference and Decision, Holt, Rinehart and Winston, New York.
Rights and permissions
Copyright information
© 1990 Simon B.N. Thompson and Maryanne Morgan
About this chapter
Cite this chapter
Thompson, S.B.N., Morgan, M. (1990). Expert Systems for Stroke in Occupational Therapy. In: Occupational Therapy for Stroke Rehabilitation. Therapy in Practice Series. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-3083-5_7
Download citation
DOI: https://doi.org/10.1007/978-1-4899-3083-5_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-412-33530-3
Online ISBN: 978-1-4899-3083-5
eBook Packages: Springer Book Archive