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An interactive retrieval system for clinical trial studies with context-dependent protocol elements

Junseok Park, Kwangmin Kim, View ORCID ProfileSeongkuk Park, View ORCID ProfileWoochang Hwang, View ORCID ProfileSunyong Yoo, View ORCID ProfileGwan-su Yi, View ORCID ProfileDoheon Lee
doi: https://doi.org/10.1101/814996
Junseok Park
Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of KoreaBio-Synergy Research Centre, KAIST, Daejeon 34141, Republic of Korea
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Kwangmin Kim
Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of KoreaBio-Synergy Research Centre, KAIST, Daejeon 34141, Republic of Korea
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Seongkuk Park
Information & Electronics Research Institute, Daejeon, 34141 Republic of Korea
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Woochang Hwang
The Milner Institute, University of Cambridge, CB2 1QN UK
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Sunyong Yoo
Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of KoreaBio-Synergy Research Centre, KAIST, Daejeon 34141, Republic of Korea
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Gwan-su Yi
Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of Korea
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Doheon Lee
Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of KoreaBio-Synergy Research Centre, KAIST, Daejeon 34141, Republic of Korea
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  • For correspondence: dhlee@kaist.ac.kr
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Abstract

A clinical trial protocol defines the procedures that should be performed during a clinical trial. Every clinical trial begins with the design of its protocol. While designing the protocol, most researchers refer to electronic databases and extract protocol elements using a keyword search. However, state-of-the-art retrieval systems only offer text-based searches for user-entered keywords. In this study, we present an interactive retrieval system with a context-dependent and protocol-element-selection function for successfully designing a clinical trial protocol. To do this, we first introduce a database for a protocol retrieval system constructed from individual protocol data extracted from 184,634 clinical trials and 13,210 frame structures of clinical trial protocols. The database contains various semantic information that enables the protocols to be filtered during the search operation. Based on the database, we developed a web application called the clinical trial protocol database system (CLIPS; available at https://corus.kaist.edu/clips), which enables an interactive search by utilizing protocol elements. CLIPS provides the options to select the next element according to the previous element in the form of a connected tree, thus enabling an interactive search for combinations of protocol elements. The validation results show that our method achieves better performance than existing databases in predicting phenotypic features.

Footnotes

  • The section on Method, Discussion and conclusion updated to clarify

  • http://corus.kaist.edu/clips

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted December 01, 2019.
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An interactive retrieval system for clinical trial studies with context-dependent protocol elements
Junseok Park, Kwangmin Kim, Seongkuk Park, Woochang Hwang, Sunyong Yoo, Gwan-su Yi, Doheon Lee
bioRxiv 814996; doi: https://doi.org/10.1101/814996
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An interactive retrieval system for clinical trial studies with context-dependent protocol elements
Junseok Park, Kwangmin Kim, Seongkuk Park, Woochang Hwang, Sunyong Yoo, Gwan-su Yi, Doheon Lee
bioRxiv 814996; doi: https://doi.org/10.1101/814996

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