Managing uncertainty in diagnosis of acute coronaric ischemia.
The paper presents the reasoning mechanism of COR, a knowledge-based system (KBS) able to provide support for the diagnosis of coronaric ischemia by integrating the interpretation of chest pain, 12-lead ECG, and bio-marker concentrations. Chest pain features are collected interactively through a questionnaire. The ECG signal is acquired in SCP format. Any set of bio-markers can be considered. Data input is incremental and possibly incomplete. Reasoning is based on revised uncertainty calculus, which allows a formal treatment of verbally expressed uncertainty concerning both input data and diagnostic rules. Each diagnosis is supplemented by a linguistic label, expressing the plausibility of the disease identified, given the symptoms observed.
Baroni
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Dipartimento di Elettronica per l'Automazione, Facoltà di Ingegneria, Università di Brescia, Via Branze 38, 25123, Brescia, Italy. baroni@ing.unibs.it
Guida
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Zanella
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D001185:Artificial Intelligence; D015415:Biomarkers / Q000032:analysis; D002637:Chest Pain; D003658:Decision Making, Computer-Assisted; D004562:Electrocardiography; D006801:Humans; D017202:Myocardial Ischemia / Q000175:diagnosis*
D015415:Biomarkers