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

doi:10.1109/IEMBS.1996.646400

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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 language	English
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	https://doi.org/10.1109/IEMBS.1996.646400
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
Abbreviated title	EMBC
Country/Territory	Netherlands
City	Amsterdam
Period	31/10/96 → 3/11/96

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d'Hollosy, W., de Vries Robbe, P. F., Mars, N. J. I., Witjes, W. P. J., Debruyne, F. M. J., & Wijkstra, H. (1996). Representation of domain knowledge needed to define relevant study variables for clinical trials in urology. In Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Vol. 5, pp. 2012-2013) https://doi.org/10.1109/IEMBS.1996.646400

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title = "Representation of domain knowledge needed to define relevant study variables for clinical trials in urology",

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].",

author = "Wendy d'Hollosy and \{de Vries Robbe\}, \{Pieter F.\} and Mars, \{Nicolaas J.I.\} and Witjes, \{Wim P.J.\} and Debruyne, \{Frans M.J.\} and Hessel Wijkstra",

year = "1996",

month = dec,

day = "1",

doi = "10.1109/IEMBS.1996.646400",

language = "English",

isbn = "0-7803-3811-1",

volume = "5",

pages = "2012--2013",

booktitle = "Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

note = "18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996 : Bridging Disciplines for Biomedicine, EMBC ; Conference date: 31-10-1996 Through 03-11-1996",

}

d'Hollosy, W, de Vries Robbe, PF, Mars, NJI, Witjes, WPJ, Debruyne, FMJ & Wijkstra, H 1996, Representation of domain knowledge needed to define relevant study variables for clinical trials in urology. in Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. vol. 5, pp. 2012-2013, 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996, Amsterdam, Netherlands, 31/10/96. https://doi.org/10.1109/IEMBS.1996.646400

Representation of domain knowledge needed to define relevant study variables for clinical trials in urology. / d'Hollosy, Wendy; de Vries Robbe, Pieter F.; Mars, Nicolaas J.I. et al.
Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol. 5 1996. p. 2012-2013.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Representation of domain knowledge needed to define relevant study variables for clinical trials in urology

AU - d'Hollosy, Wendy

AU - de Vries Robbe, Pieter F.

AU - Mars, Nicolaas J.I.

AU - Witjes, Wim P.J.

AU - Debruyne, Frans M.J.

AU - Wijkstra, Hessel

N1 - Conference code: 18

PY - 1996/12/1

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N2 - 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].

AB - 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].

UR - https://www.scopus.com/pages/publications/0030314255

U2 - 10.1109/IEMBS.1996.646400

DO - 10.1109/IEMBS.1996.646400

M3 - Conference contribution

AN - SCOPUS:0030314255

SN - 0-7803-3811-1

VL - 5

SP - 2012

EP - 2013

BT - Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

T2 - 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996

Y2 - 31 October 1996 through 3 November 1996

ER -

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

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