Representation of domain knowledge needed to define relevant study variables for clinical trials in urology

Wendy d'Hollosy*, Pieter F. de Vries Robbe, Nicolaas J.I. Mars, Wim P.J. Witjes, Frans M.J. Debruyne, Hessel Wijkstra

*Corresponding author for this work

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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. We examined the knowledge needed to determine relevant study variables. This paper describes the development of a conceptualization model, also called an ontology [1], to represent this knowledge. This is the first step in building a knowledge-based system as a part of PROSYS [2].

Original languageEnglish
Title of host publicationProceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Pages2012-2013
Number of pages2
Volume5
DOIs
Publication statusPublished - 1 Dec 1996
Externally publishedYes
Event18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996: Bridging Disciplines for Biomedicine - Amsterdam, Netherlands
Duration: 31 Oct 19963 Nov 1996
Conference number: 18

Conference

Conference18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996
Abbreviated titleEMBC
CountryNetherlands
CityAmsterdam
Period31/10/963/11/96

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