Title :
Ontology-driven cardiovascular decision support system
Author :
Farooq, Kamran ; Hussain, Amir ; Leslie, Stephen ; Eckl, Chris ; Slack, Warner
Author_Institution :
Univ. of Stirling, Stirling, UK
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.
Keywords :
cardiovascular system; decision support systems; medical expert systems; ontologies (artificial intelligence); risk management; adaptive questionnaire; chest pain assessment guidelines; chest pain risk assessment; clinical expert system; ontology-driven cardiovascular decision support system; patient medical history; risk scoring rules; work-in-progress; Guidelines; History; Ontologies; Pain; Risk management; Semantics; Decision Support System; Ontology;
Conference_Titel :
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on
Conference_Location :
Dublin
Print_ISBN :
978-1-61284-767-2