Resumen
Decision support systems based on computerized Clinical Protocols (CP) and Clinical Practice Guidelines (CPG) fall short when dealing with patient co-morbidites, as this demands the concurrent merging of multiple CP/CPG. We present an ontology-based approach for the merging of CPG and CP at two levels-i.e. knowledge modeling level and knowledge execution level. We have developed specialized ontological modeling constructs to facilitate merging of CPG and CP. We demonstrate the merging of multiple location-specific CP and disease-specific CPG.
Idioma original | English |
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Título de la publicación alojada | Artificial Intelligence in Medicine - 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Proceedings |
Páginas | 81-85 |
Número de páginas | 5 |
DOI | |
Estado | Published - 2009 |
Evento | 12th Conference on Artificial Intelligence in Medicine, AIME 2009 - Verona, Italy Duración: jul. 18 2009 → jul. 22 2009 |
Serie de la publicación
Nombre | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volumen | 5651 LNAI |
ISSN (versión impresa) | 0302-9743 |
ISSN (versión digital) | 1611-3349 |
Conference
Conference | 12th Conference on Artificial Intelligence in Medicine, AIME 2009 |
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País/Territorio | Italy |
Ciudad | Verona |
Período | 7/18/09 → 7/22/09 |
ASJC Scopus Subject Areas
- Theoretical Computer Science
- General Computer Science
Huella
Profundice en los temas de investigación de 'Towards the merging of multiple clinical protocols and guidelines via ontology-driven modeling'. En conjunto forman una huella única.Citar esto
Abidi, S. R., & Abidi, S. S. R. (2009). Towards the merging of multiple clinical protocols and guidelines via ontology-driven modeling. En Artificial Intelligence in Medicine - 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Proceedings (pp. 81-85). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5651 LNAI). https://doi.org/10.1007/978-3-642-02976-9_10