SeDeLo: using semantics and description logics to support aided clinical diagnosis.

Abstract:

:Automated medical diagnosis systems based on knowledge-oriented descriptions have gained momentum with the emergence of semantic descriptions. The objective of this paper is to propose a normalized design that solves some of the problems which have been detected by authors in previous tools. The authors bring together two different technologies to develop a new clinical decision support system: description logics aimed at developing inference systems to improve decision support for the prevention, treatment and management of illness and semantic technologies. Because of its new design, the system is capable of obtaining improved diagnostics compared with previous efforts. However, this evaluation is more focused in the computational performance, giving as result that description logics is a good solution with small data sets. In this paper, we provide a well-structured ontology for automated diagnosis in the medical field and a three-fold formalization based on Description Logics with the use of Semantic Web technologies.

journal_name

J Med Syst

authors

Rodríguez-González A,Labra-Gayo JE,Colomo-Palacios R,Mayer MA,Gómez-Berbís JM,García-Crespo A

doi

10.1007/s10916-011-9714-1

subject

Has Abstract

pub_date

2012-08-01 00:00:00

pages

2471-81

issue

4

eissn

0148-5598

issn

1573-689X

journal_volume

36

pub_type

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