Authors:
Luca Piovesan
;
Paolo Terenziani
and
Daniele Theseider Dupré
Affiliation:
Università del Piemonte Orientale, Italy
Keyword(s):
Computer-interpretable Clinical Guidelines, Comorbidities, Conformance Analysis, Answer Set Programming.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Health Engineering and Technology Applications
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
The treatment of comorbid patients is one of the main challenges of modern health care, and many Medical Informatics
approaches have been devoted to it in the last years. In this paper, we propose the first approach in the
literature that analyses the conformance of execution traces with multiple Computer-Interpretable Guidelines
(CIGs), as needed in the treatment of comorbid patients. This is a fundamental task, to support physicians
in an a-posteriori analysis of the treatments that have been provided. Notably, the conformance problem is
very complex in this context, since CIGs may have negative interactions, so that in specific circumstances
full conformance to individual CIGs may be dangerous for patients. We thus complement our conformance
analysis with an explanation approach, aimed at justifying deviations in case they can be explained in terms of
interaction management, e.g., some possible undesired interaction has been avoided. Our approach is based
on Answer Set Pr
ogramming, and, to face realistic problems, devotes specific attention to the temporal dimension.
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