Ontology for task-based clinical guidelines and the theory of granular partitions

Anand Kumar; Barry Smith

doi:10.1007/978-3-540-39907-0_10

Ontology for task-based clinical guidelines and the theory of granular partitions

Anand Kumar
, Barry Smith

Philosophy

University of Pavia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The theory of granular partitions (TGP) is a new approach to the understanding of ontologies and other classificatory systems. The paper explores the use of this new theory in the treatment of task-based clinical guidelines as a means for better understanding the relations between different clinical tasks, both within the framework of a single guideline and between related guidelines. We used as our starting point a DAML+OIL-based ontology for the WHO guideline for hypertension management, comparing this with related guidelines and attempting to show that TGP provides a flexible and highly expressive basis for the manipulation of ontologies of a sort which might be useful in providing more adequate Computer Interpretable Guideline Models (CIGMs) in the future.

Original language	English
Title of host publication	Artificial Intelligence in Medicine - 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Proceedings
Pages	71-75
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-540-39907-0_10
State	Published - 2003
Event	9th Conference on Artificial Intelligence on in Medicine in Europe, AIME 2003 - Protaras, Cyprus Duration: Oct 18 2003 → Oct 22 2003

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2780 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th Conference on Artificial Intelligence on in Medicine in Europe, AIME 2003
Country/Territory	Cyprus
City	Protaras
Period	10/18/03 → 10/22/03

Access to Document

10.1007/978-3-540-39907-0_10

Cite this

Kumar, A., & Smith, B. (2003). Ontology for task-based clinical guidelines and the theory of granular partitions. In Artificial Intelligence in Medicine - 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Proceedings (pp. 71-75). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2780 LNAI). https://doi.org/10.1007/978-3-540-39907-0_10

Kumar, Anand ; Smith, Barry. / Ontology for task-based clinical guidelines and the theory of granular partitions. Artificial Intelligence in Medicine - 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Proceedings. 2003. pp. 71-75 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Kumar, A & Smith, B 2003, Ontology for task-based clinical guidelines and the theory of granular partitions. in Artificial Intelligence in Medicine - 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2780 LNAI, pp. 71-75, 9th Conference on Artificial Intelligence on in Medicine in Europe, AIME 2003, Protaras, Cyprus, 10/18/03. https://doi.org/10.1007/978-3-540-39907-0_10

Ontology for task-based clinical guidelines and the theory of granular partitions. / Kumar, Anand; Smith, Barry.
Artificial Intelligence in Medicine - 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Proceedings. 2003. p. 71-75 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2780 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The theory of granular partitions (TGP) is a new approach to the understanding of ontologies and other classificatory systems. The paper explores the use of this new theory in the treatment of task-based clinical guidelines as a means for better understanding the relations between different clinical tasks, both within the framework of a single guideline and between related guidelines. We used as our starting point a DAML+OIL-based ontology for the WHO guideline for hypertension management, comparing this with related guidelines and attempting to show that TGP provides a flexible and highly expressive basis for the manipulation of ontologies of a sort which might be useful in providing more adequate Computer Interpretable Guideline Models (CIGMs) in the future.

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Kumar A, Smith B. Ontology for task-based clinical guidelines and the theory of granular partitions. In Artificial Intelligence in Medicine - 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Proceedings. 2003. p. 71-75. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-39907-0_10

Ontology for task-based clinical guidelines and the theory of granular partitions

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