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Modeling Participant-Related Clinical Research Events Using Conceptual Knowledge Acquisition Techniques

By Philip R.O. Payne, Eneida A. Mendonca and Justin B. Starren

Abstract

The active phase of a clinical trial is defined by a protocol schema consisting of participant-related events organized into multiple visits. Current efforts to model protocol schemas in a computable format have focused on high-level abstractions, such as the temporal relationships between visits. However, such approaches do not address the need for a more granular computational model of the individual events that comprise each visit. To address the preceding gap in knowledge, this paper will describe a study in which conceptual knowledge acquisition (CKA) techniques were applied to a corpus of 32 clinical trials protocol documents in order to develop a knowledge collection of common participant-related clinical research events. These techniques identified 7 high-level concepts that could be used as organizing principles in the resulting knowledge collection. Such results confirm the utility of CKA methods in the clinical research domain

Topics: Articles
Publisher: American Medical Informatics Association
OAI identifier: oai:pubmedcentral.nih.gov:2655781
Provided by: PubMed Central
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