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Author Rodrigues, F.H. ♦ Tesser Poloni, J.A. ♦ Dias Flores, C. ♦ Rotta, L.N.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Conferences ♦ Artificial intelligence ♦ OWL ♦ Ontology ♦ Ontologies ♦ Urinalysis ♦ Urinary Profiles ♦ Profiles ♦ Health Informatics ♦ Unified Foundational Ontology ♦ UFO
Abstract Urinalysis is the test of urine, which, identifying presence of particles and substances in the sample can provide valuable information about patient's urinary and renal condition as well as about major metabolic functions. Even though being a quick, accurate and cost-effective test, it has not received proper attention, preventing it to achieve its whole power. Capability to identify the main urinary particles and arrange urinary findings in a clinical context are among the requirements to change this scenario. Since these are chiefly informational tasks, they seem to be liable to computational representation. This way, this work presents an ontological model to represent urinary profiles in order to allow such arrange of findings and help to predict contents to be searched in the sample. It is based on an ontological analysis of the problem and formalized according to the Unified Foundational Ontology (UFO). The paper also brings an implementation of such model to deal with the case of nephritic profile. It is implemented using OWL 2 and allows important inference through simple DL queries. Besides dealing with urinary profiles, the proposed model may also give insight on how to deal with correlate domains (e.g. blood or liquor tests) and may be generalized to similar situations in different scopes (e.g. employee profiling).
Description Author affiliation: Postgrad. Program in Health Sci., Univ. Fed. de Cienc. da Saade de Porto Alegre - UFCSPA, Porto Alegre, Brazil (Rodrigues, F.H.; Tesser Poloni, J.A.; Dias Flores, C.; Rotta, L.N.)
ISSN 10823409
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-11-09
Publisher Place Italy
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781509001637
Size (in Bytes) 315.22 kB
Page Count 8
Starting Page 1037
Ending Page 1044


Source: IEEE Xplore Digital Library