Title :
Representation of domain knowledge needed to define relevant study variables for clinical trials in urology
Author :
D´Hollosy, Wendy ; De Vries Robbé, Pieter F. ; Mars, Nicolaas J I ; Witjes, Wim P J ; Debruyne, Frans M J ; Wijkstra, Hessel
Author_Institution :
Dept. of Urology, Univ. Hosp. Nijmegen, Netherlands
fDate :
31 Oct-3 Nov 1996
Abstract :
An important aspect of clinical trial design is to define which study variables are relevant. This describes the data that have to be collected during the conduct of a trial. An underestimation of this aspect of trial design may lead to problems in the later data management process. The authors examined the knowledge needed to determine relevant study variables. This paper describes the development of a conceptualization model, also called an ontology, to represent this knowledge. This is the first step in building a knowledge-based system as a part of PROSYS
Keywords :
knowledge based systems; knowledge representation; medical computing; modelling; PROSYS; clinical trial design; conceptualization model; data management process; domain knowledge representation; relevant study variables definition; urology; Application software; Buildings; Clinical trials; Hospitals; Knowledge based systems; Mars; Medical diagnostic imaging; Medical treatment; Ontologies; Protocols;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.646400