Using OWL ontologies for clinical guidelines based comorbid decision support

Samina Abidi, Jafna Cox, S. Sibte Raza Abidi, Michael Shepherd

Producción científica: Capítulo en Libro/Reporte/Acta de conferenciaContribución a la conferencia

12 Citas (Scopus)

Resumen

In this paper we present an ontology-based clinical decision-support framework for handling comorbidities by alignment of ontology modeled clinical practice guidelines (CPG). Our knowledge management approach to develop clinical decision support systems for co-morbid conditions entails: (a) knowledge synthesis to derive disease-specific clinical pathways (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 (Co-morbidity Ontological Modeling & ExecuTion) system that provides decision support to handle comorbid chronic heart failure and atrial fibrillation. COMET is web-accessible and is designed for family practitioners.

Idioma originalEnglish
Título de la publicación alojadaProceedings of the 45th Annual Hawaii International Conference on System Sciences, HICSS-45
EditorialIEEE Computer Society
Páginas3030-3038
Número de páginas9
ISBN (versión impresa)9780769545257
DOI
EstadoPublished - 2012
Evento2012 45th Hawaii International Conference on System Sciences, HICSS 2012 - Maui, HI, United States
Duración: ene. 4 2012ene. 7 2012

Serie de la publicación

NombreProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (versión impresa)1530-1605

Conference

Conference2012 45th Hawaii International Conference on System Sciences, HICSS 2012
País/TerritorioUnited States
CiudadMaui, HI
Período1/4/121/7/12

ASJC Scopus Subject Areas

  • General Engineering

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