NDLI: An ontology building system for structuring medical diagnostic knowledge

Content Provider	IEEE Xplore Digital Library
Author	Jaszuk, M. Szostek, G. Walczak, A.
Copyright Year	2010
Description	Author affiliation: Military University of Technology, Warsaw, Poland (Walczak, A.) \|\| University of Information Technology and Management, Rzeszów, Poland (Jaszuk, M.; Szostek, G.)
Abstract	The paper gives an overview of research devoted to developing a semi-automatic methodology of building a semantic model of medical diagnostic knowledge. The methodology can serve multiple purposes. First of all it can be a foundation for building ontologies of diseases. The same methodology can also be used for building ontologies of medical diagnostic technologies. The semantic model is applied because it allows for uniform representation of heterogenic data. In the context of medicine this allows for the fusion of heterogenic data coming from different diagnostic technologies. In consequence all the data gathered for a particular patient can be further processed with the aid of the same mathematical techniques. Thus it is easy to construct a reasoning mechanism that diagnoses the possible diseases by comparing the data obtained for a patient with the semantic models of diseases. The process of an ontology building is automatic and uses a set of natural language processing methods. The described methodology was developed specifically for the Polish language.
Starting Page	203
Ending Page	210
File Size	523873
Page Count	8
File Format	PDF
ISBN	9781424475605
e-ISBN	9781424475629
DOI	10.1109/HSI.2010.5514567
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-13
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	natural language processing Buildings Natural languages Ontologies Knowledge management Information management semantic network Medical diagnosis Information technology Diseases medical symptoms Natural language processing Medical diagnostic imaging ontology
Content Type	Text
Resource Type	Article

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