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

Résultat de recherche: Conference contribution

12 Citations (Scopus)

Résumé

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.

Langue d'origineEnglish
Titre de la publication principaleKnowledge Representation for Health-Care - ECAI 2010 Workshop KR4HC 2010, Revised Selected Papers
Pages27-39
Nombre de pages13
DOI
Statut de publicationPublished - 2011
Événement2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010, Held in Conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010 - Lisbon, Portugal
Durée: août 17 2010août 17 2010

Séries de publication

PrénomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6512 LNAI
ISSN (imprimé)0302-9743
ISSN (électronique)1611-3349

Conference

Conference2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010, Held in Conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010
Pays/TerritoirePortugal
VilleLisbon
Période8/17/108/17/10

Note bibliographique

Funding Information:
Acknowledgements. This research has been supported by grants from Green Shield Canada Foundation. The author thanks Dr. Jafna Cox for his guidance in developing the clinical pathways and evaluating the system.

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Empreinte numérique

Plonger dans les sujets de recherche 'Ontology-based knowledge modeling to provide decision support for comorbid diseases'. Ensemble, ils forment une empreinte numérique unique.

Citer