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VISAGE: A Query Interface for Clinical Research

We present the design and implementation of VISAGE (VISual AGgregator and Explorer), a query interface for clinical research. We follow a user-centered development approach and incorporate visual, ontological, searchable and explorative features in three interrelated components: Query Builder, Query...

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Detalles Bibliográficos
Autores principales: Zhang, Guo-Qiang, Siegler, Trish, Saxman, Paul, Sandberg, Neil, Mueller, Remo, Johnson, Nathan, Hunscher, Dale, Arabandi, Sivaram
Formato: Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041531/
https://www.ncbi.nlm.nih.gov/pubmed/21347154
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author Zhang, Guo-Qiang
Siegler, Trish
Saxman, Paul
Sandberg, Neil
Mueller, Remo
Johnson, Nathan
Hunscher, Dale
Arabandi, Sivaram
author_facet Zhang, Guo-Qiang
Siegler, Trish
Saxman, Paul
Sandberg, Neil
Mueller, Remo
Johnson, Nathan
Hunscher, Dale
Arabandi, Sivaram
author_sort Zhang, Guo-Qiang
collection PubMed
description We present the design and implementation of VISAGE (VISual AGgregator and Explorer), a query interface for clinical research. We follow a user-centered development approach and incorporate visual, ontological, searchable and explorative features in three interrelated components: Query Builder, Query Manager and Query Explorer. The Query Explorer provides novel on-line data mining capabilities for purposes such as hypothesis generation or cohort identification. The VISAGE query interface has been implemented as a significant component of Physio-MIMI, an NCRR-funded, multi-CTSA-site pilot project. Preliminary evaluation results show that VISAGE is more efficient for query construction than the i2b2 web-client.
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spelling pubmed-30415312011-02-23 VISAGE: A Query Interface for Clinical Research Zhang, Guo-Qiang Siegler, Trish Saxman, Paul Sandberg, Neil Mueller, Remo Johnson, Nathan Hunscher, Dale Arabandi, Sivaram Summit on Translat Bioinforma Articles We present the design and implementation of VISAGE (VISual AGgregator and Explorer), a query interface for clinical research. We follow a user-centered development approach and incorporate visual, ontological, searchable and explorative features in three interrelated components: Query Builder, Query Manager and Query Explorer. The Query Explorer provides novel on-line data mining capabilities for purposes such as hypothesis generation or cohort identification. The VISAGE query interface has been implemented as a significant component of Physio-MIMI, an NCRR-funded, multi-CTSA-site pilot project. Preliminary evaluation results show that VISAGE is more efficient for query construction than the i2b2 web-client. American Medical Informatics Association 2010-03-01 /pmc/articles/PMC3041531/ /pubmed/21347154 Text en ©2010 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Zhang, Guo-Qiang
Siegler, Trish
Saxman, Paul
Sandberg, Neil
Mueller, Remo
Johnson, Nathan
Hunscher, Dale
Arabandi, Sivaram
VISAGE: A Query Interface for Clinical Research
title VISAGE: A Query Interface for Clinical Research
title_full VISAGE: A Query Interface for Clinical Research
title_fullStr VISAGE: A Query Interface for Clinical Research
title_full_unstemmed VISAGE: A Query Interface for Clinical Research
title_short VISAGE: A Query Interface for Clinical Research
title_sort visage: a query interface for clinical research
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041531/
https://www.ncbi.nlm.nih.gov/pubmed/21347154
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