Managing uncertainty in diagnosis of acute coronaric ischemia

Authors:
P. Baroni;G. Guida;M. Zanella
Affiliations:
Dipartimento di Elettronica per l'Automazione, Facoltí di Ingegneria, Universití di Brescia, Via Branze 38, 25123 Brescia, Italy;Dipartimento di Elettronica per l'Automazione, Facoltí di Ingegneria, Universití di Brescia, Via Branze 38, 25123 Brescia, Italy;Dipartimento di Elettronica per l'Automazione, Facoltí di Ingegneria, Universití di Brescia, Via Branze 38, 25123 Brescia, Italy
Venue:
Artificial Intelligence in Medicine
Year:
2001

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Abstract

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.