Ontology-driven cardiovascular decision support system

Farooq, Kamran; Hussain, Amir; Leslie, Stephen; Eckl, Chris; Slack, Warner

Abstract

We discuss work-in-progress and propose an ontology driven framework for the development of a clinical expert system for chest pain risk assessment. The framework has the following key components: adaptive questionnaire, patient medical history, risk assessment and decision support. We intend to incorporate a range of chest pain assessment guidelines and risk scoring rules within the system and design the framework so it can be extended to a range of other cardiovascular diseases in various clinical settings.

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops
• Start Date: May 23, 2011
• End Date: May 26, 2011
• Online Publication Date: Oct 10, 2011
• Publication Date: 2011
• Deposit Date: Oct 15, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 283-286
• Series Title: International Conference on Pervasive Computing Technologies for Healthcare
• Series ISSN: 2153-1633
• Book Title: 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops
• ISBN: 978-1-61284-767-2
• DOI: https://doi.org/10.4108/icst.pervasivehealth.2011.246092
• Keywords: cardiovascular system, decision support systems, medical expert systems, ontologies (artificial intelligence), risk management
• Public URL: http://researchrepository.napier.ac.uk/Output/1793368