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 language | English |
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Title of host publication | Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Pages | 2012-2013 |
Number of pages | 2 |
Volume | 5 |
DOIs | |
Publication status | Published - 1 Dec 1996 |
Externally published | Yes |
Event | 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996: Bridging Disciplines for Biomedicine - Amsterdam, Netherlands Duration: 31 Oct 1996 → 3 Nov 1996 Conference number: 18 |
Conference
Conference | 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996 |
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Abbreviated title | EMBC |
Country/Territory | Netherlands |
City | Amsterdam |
Period | 31/10/96 → 3/11/96 |