Knowledge-based System for Urinalysis

Urinalysis is a very important test of laboratory medicine, providing valuable information about metabolic, 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 and decision support during the process – or even its automation. 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.