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

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12 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Título de la publicación alojadaKnowledge Representation for Health-Care - ECAI 2010 Workshop KR4HC 2010, Revised Selected Papers
Páginas27-39
Número de páginas13
DOI
EstadoPublished - 2011
Evento2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010, Held in Conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010 - Lisbon, Portugal
Duración: ago. 17 2010ago. 17 2010

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen6512 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)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
País/TerritorioPortugal
CiudadLisbon
Período8/17/108/17/10

Nota bibliográfica

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

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