Title :
An intelligent medical system for microbiological data validation and nosocomial infection surveillance
Author :
Lamma, E. ; Modestino, G. ; Riguzzi, F. ; Storari, S. ; Mello, P. ; Nanetti, A.
Author_Institution :
Dept. of Eng., Ferrara Univ., Italy
Abstract :
We describe a knowledge-based system for microbiological laboratory data validation and bacterial infection monitoring. The knowledge base has been obtained from international standard guidelines for microbiological laboratory practice, from experts´ suggestions and from data mining. In this paper, we evaluate the system in terms of accuracy on a test data set.
Keywords :
computerised monitoring; data integrity; data mining; diseases; laboratory techniques; medical expert systems; microorganisms; patient monitoring; software performance evaluation; standards; surveillance; bacterial infection monitoring; data mining; expert suggestions; intelligent medical system; international standard guidelines; knowledge-based system; laboratory data; laboratory practice guidelines; microbiological data validation; nosocomial infection surveillance; system accuracy; Intelligent systems;
Conference_Titel :
Computer-Based Medical Systems, 2002. (CBMS 2002). Proceedings of the 15th IEEE Symposium on
Print_ISBN :
0-7695-1614-9
DOI :
10.1109/CBMS.2002.1011348