Authors:
Fabrício Henrique Rodrigues
;
José Antônio Tesser Poloni
;
Cecília Dias Flores
and
Liane Nanci Rotta
Affiliation:
Universidade Federal de Ciências da Saúde de Porto Alegre, Brazil
Keyword(s):
Ontology, Knowledge-based System, Knowledge System, Expert System, Bayesian Networks, Health Informatics, Urinalysis.
Related
Ontology
Subjects/Areas/Topics:
Applications of Expert Systems
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
Abstract:
Urinalysis is a very important test of laboratory medicine, providing valuable information about metabolism, kidney, and urinary tract. For several reasons, including lacking of professional qualification, it does not receive the proper attention, what prevents it to achieve its whole power. Considering that, a knowledge-based system for decision support in urinalysis could help to change this situation, being useful to professional training, decision support during the process or even the automation of the test. This paper proposes the development of such a system, employing ontologies, Bayesian networks, and templates of cognitive tasks to treat domain knowledge. Then, urinalysis is briefly discussed and system architecture is presented, as well as the current state of the work and future steps.