Literature DB >> 22462194

Ontology and medical diagnosis.

Valérie Bertaud-Gounot1, Régis Duvauferrier, Anita Burgun.   

Abstract

Ontology and associated generic tools are appropriate for knowledge modeling and reasoning, but most of the time, disease definitions in existing description logic (DL) ontology are not sufficient to classify patient's characteristics under a particular disease because they do not formalize operational definitions of diseases (association of signs and symptoms=diagnostic criteria). The main objective of this study is to propose an ontological representation which takes into account the diagnostic criteria on which specific patient conditions may be classified under a specific disease. This method needs as a prerequisite a clear list of necessary and sufficient diagnostic criteria as defined for lots of diseases by learned societies. It does not include probability/uncertainty which Web Ontology Language (OWL 2.0) cannot handle. We illustrate it with spondyloarthritis (SpA). Ontology has been designed in Protégé 4.1 OWL-DL2.0. Several kinds of criteria were formalized: (1) mandatory criteria, (2) picking two criteria among several diagnostic criteria, (3) numeric criteria. Thirty real patient cases were successfully classified with the reasoner. This study shows that it is possible to represent operational definitions of diseases with OWL and successfully classify real patient cases. Representing diagnostic criteria as descriptive knowledge (instead of rules in Semantic Web Rule Language or Prolog) allows us to take advantage of tools already available for OWL. While we focused on Assessment of SpondyloArthritis international Society SpA criteria, we believe that many of the representation issues addressed here are relevant to using OWL-DL for operational definition of other diseases in ontology.

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Year:  2012        PMID: 22462194     DOI: 10.3109/17538157.2011.590258

Source DB:  PubMed          Journal:  Inform Health Soc Care        ISSN: 1753-8157            Impact factor:   2.439


  7 in total

1.  Deriving an abstraction network to support quality assurance in OCRe.

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Review 2.  Ontologies for Liver Diseases Representation: A Systematic Literature Review.

Authors:  Rim Messaoudi; Achraf Mtibaa; Antoine Vacavant; Faïez Gargouri; Faouzi Jaziri
Journal:  J Digit Imaging       Date:  2020-06       Impact factor: 4.056

3.  Ontology for vector surveillance and management.

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Journal:  J Med Entomol       Date:  2013-01       Impact factor: 2.278

4.  Developing a modular architecture for creation of rule-based clinical diagnostic criteria.

Authors:  Na Hong; Jyotishman Pathak; Christopher G Chute; Guoqian Jiang
Journal:  BioData Min       Date:  2016-10-21       Impact factor: 2.522

Review 5.  Survey of Image Processing Techniques for Brain Pathology Diagnosis: Challenges and Opportunities.

Authors:  Martin Cenek; Masa Hu; Gerald York; Spencer Dahl
Journal:  Front Robot AI       Date:  2018-11-02

6.  Analysis of a multilevel diagnosis decision support system and its implications: a case study.

Authors:  Alejandro Rodríguez-González; Javier Torres-Niño; Miguel A Mayer; Giner Alor-Hernandez; Mark D Wilkinson
Journal:  Comput Math Methods Med       Date:  2012-12-23       Impact factor: 2.238

7.  A histological ontology of the human cardiovascular system.

Authors:  Claudia Mazo; Liliana Salazar; Oscar Corcho; Maria Trujillo; Enrique Alegre
Journal:  J Biomed Semantics       Date:  2017-10-02
  7 in total

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