Back to first pageBack to first page Centre for Artificial Intelligence of UNL
Browse our site
You are here:

Publication details

Go back
Publication details
Main information
Ontology based Clinical Practice Justification in Natural Language
2013
davim2013b
One of the most important contributions that any decision support system can make to achieve wide acceptance among any community is to be able to justify its own suggestions. When dealing with highly technical and scientifically advanced practitioners like medical doctors or any other related clinical workers, the ability to justify itself using the domain specialist usual terminology and technicalities is imperative. In this article we demonstrate the use of an ontological framework as inferencing basis for automatic sound clinical suggestions providing. Our work has two main contributions, consolidating the use of OGCP (Ontology for General Clinical Practice) as foundation and providing controlled English justifications of the extracted suggestions. We found that clinical practitioners feel as acceptable the Attempto Controlled English justifications generated from the knowledge base.
Journal
David Mendes, Irene Rodrigues, Carlos Baeta
Procedia Technology
Elsevier
-
9
0
1288 - 1293
-
-
-
http://dx.doi.org/10.1016/j.protcy.2013.12.144
Export formats
David Mendes and Irene Rodrigues and Carlos Baeta, Ontology based Clinical Practice Justification in Natural Language, Procedia Technology, Vol. 9, No. 0, Pag. 1288 - 1293, Elsevier, (http://dx.doi.org/10.1016/j.protcy.2013.12.144), 2013.
<b><a href="/people/members/view.php?code=73bb21b606f0dd0a170707205ef08d23" class="author">David Mendes</a>, <a href="/people/members/view.php?code=032b48c4371cf1d1523215c3f02c42de" class="author">Irene Rodrigues</a> and Carlos Baeta</b>, <u>Ontology based Clinical Practice Justification in Natural Language</u>, Procedia Technology, Vol. 9, No. 0, Pag. 1288 - 1293, <a href="http://www.elsevier.com/" title="Link to external entity..." target="_blank" class="publisher">Elsevier</a>, (<a href="http://dx.doi.org/10.1016/j.protcy.2013.12.144" target="_blank">url</a>), 2013.
@article {davim2013b, author = {David Mendes and Irene Rodrigues and Carlos Baeta}, title = {Ontology based Clinical Practice Justification in Natural Language}, journal = {Procedia Technology}, publisher = {Elsevier}, volume = {9}, number = {0}, pages = {1288 - 1293}, url = {http://dx.doi.org/10.1016/j.protcy.2013.12.144}, abstract = {One of the most important contributions that any decision support system can make to achieve wide acceptance among any community is to be able to justify its own suggestions. When dealing with highly technical and scientifically advanced practitioners like medical doctors or any other related clinical workers, the ability to justify itself using the domain specialist usual terminology and technicalities is imperative. In this article we demonstrate the use of an ontological framework as inferencing basis for automatic sound clinical suggestions providing. Our work has two main contributions, consolidating the use of OGCP (Ontology for General Clinical Practice) as foundation and providing controlled English justifications of the extracted suggestions. We found that clinical practitioners feel as acceptable the Attempto Controlled English justifications generated from the knowledge base.}, year = {2013}, }
Publication's urls
/publications/view.php?code=4f0f9b55d7e6d9c51cfa3e8b4570ec97
/publications/view.php?code=davim2013b
Go back
Centre for Artificial Intelligence of UNL
Departamento de Informática, FCT/UNL
Quinta da Torre 2829-516 CAPARICA - Portugal
Tel. (+351) 21 294 8536 FAX (+351) 21 294 8541

Fundacao_FCT