A hybrid architecture for a preoperative decision support system using a rule engine and a reasoner on a clinical ontology

Bouamrane, M.-M., Rector, A. and Hurrell, M. (2009) A hybrid architecture for a preoperative decision support system using a rule engine and a reasoner on a clinical ontology. Lecture Notes in Computer Science, 5837, pp. 242-253. (doi:10.1007/978-3-642-05082-4_17)

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Abstract

We report on a preventive care software system for preoperative risk assessment of patient undergoing elective surgery. The system combines a rule engine and a reasoner which uses a decision support ontology developed with a logic based knowledge representation formalism. We specifically discuss our experience of using a representation of a patient’s medical history in OWL, combined with a reasoning tool to suggest appropriate preoperative tests based on an implementation of preoperative assessment guidelines. We illustrate the reasoning functionalities of the system with a number of practical examples.

Item Type:Articles
Additional Information:Paper presented at the 3rd International Conference on Web Reasoning and Rule Systems, Chantilly, Virginia, 25-26 Oct 2009
Keywords:Ontology, clinical decision support systems, hybrid software architecture, preoperative assessment
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Bouamrane, Dr Matt-Mouley
Authors: Bouamrane, M.-M., Rector, A., and Hurrell, M.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
College/School:College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > General Practice and Primary Care
Journal Name:Lecture Notes in Computer Science
Publisher:Springer
ISSN:0302-9743

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