Ontology-based knowledge modeling to provide decision support for comorbid diseases

  • Authors:
  • Samina Raza Abidi

  • Affiliations:
  • Faculty of Computer Science, Dalhousie University, Canada

  • Venue:
  • KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Handling comorbid diseases in a decision support framework is a challenging problem as it demands the synthesis of clinical procedures for two or more diseases whilst maintaining clinical pragmatics. In this paper we present a knowledge management approach for handling comorbid diseases by the systematic alignment of the Clinical Pathways (CP) of comorbid diseases. Our approach entails: (a) knowledge synthesis to derive disease-specific CP from evidence-bases sources; (b) knowledge modeling to abstract medical and procedural knowledge from the CP; (c) knowledge representation to computerize the CP in terms of a CP ontology; and (d) knowledge alignment by aligning multiple CP to develop a unified CP knowledge model for comorbid diseases. We present the COMET system that provides decision support to handle comorbid cardiac heart failure and atrial fibrillation.