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

A well-defined protocol for a clinical trial guarantees a successful outcome report. When designing the protocol, most researchers refer to electronic databases and extract protocol elements using a keyword search. However, state-of-the-art database systems only offer text-based searches for user-en...

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Main Authors: Junseok Park, Seongkuk Park, Kwangmin Kim, Woochang Hwang, Sunyong Yoo, Gwan-su Yi, Doheon Lee, Amira M. Idrees
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500653/?tool=EBI
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spelling doaj-5e256013f33b43629741e4bf06a6a1a62020-11-25T02:37:38ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01159An interactive retrieval system for clinical trial studies with context-dependent protocol elementsJunseok ParkSeongkuk ParkKwangmin KimWoochang HwangSunyong YooGwan-su YiDoheon LeeAmira M. IdreesA well-defined protocol for a clinical trial guarantees a successful outcome report. When designing the protocol, most researchers refer to electronic databases and extract protocol elements using a keyword search. However, state-of-the-art database systems only offer text-based searches for user-entered keywords. In this study, we present a database 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 a variety of semantic information that allows the filtering of protocols 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). This system enables an interactive search by utilizing protocol elements. To enable an interactive search for combinations of protocol elements, CLIPS provides optional next element selection according to the previous element in the form of a connected tree. The validation results show that our method achieves better performance than that of existing databases in predicting phenotypic features.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500653/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Junseok Park
Seongkuk Park
Kwangmin Kim
Woochang Hwang
Sunyong Yoo
Gwan-su Yi
Doheon Lee
Amira M. Idrees
spellingShingle Junseok Park
Seongkuk Park
Kwangmin Kim
Woochang Hwang
Sunyong Yoo
Gwan-su Yi
Doheon Lee
Amira M. Idrees
An interactive retrieval system for clinical trial studies with context-dependent protocol elements
PLoS ONE
author_facet Junseok Park
Seongkuk Park
Kwangmin Kim
Woochang Hwang
Sunyong Yoo
Gwan-su Yi
Doheon Lee
Amira M. Idrees
author_sort Junseok Park
title An interactive retrieval system for clinical trial studies with context-dependent protocol elements
title_short An interactive retrieval system for clinical trial studies with context-dependent protocol elements
title_full An interactive retrieval system for clinical trial studies with context-dependent protocol elements
title_fullStr An interactive retrieval system for clinical trial studies with context-dependent protocol elements
title_full_unstemmed An interactive retrieval system for clinical trial studies with context-dependent protocol elements
title_sort interactive retrieval system for clinical trial studies with context-dependent protocol elements
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description A well-defined protocol for a clinical trial guarantees a successful outcome report. When designing the protocol, most researchers refer to electronic databases and extract protocol elements using a keyword search. However, state-of-the-art database systems only offer text-based searches for user-entered keywords. In this study, we present a database 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 a variety of semantic information that allows the filtering of protocols 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). This system enables an interactive search by utilizing protocol elements. To enable an interactive search for combinations of protocol elements, CLIPS provides optional next element selection according to the previous element in the form of a connected tree. The validation results show that our method achieves better performance than that of existing databases in predicting phenotypic features.
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500653/?tool=EBI
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