dc.contributor.author | Bartsch, Hauke | en_US |
dc.contributor.author | Garrison, Laura | en_US |
dc.contributor.author | Bruckner, Stefan | en_US |
dc.contributor.author | Wang, Ariel | en_US |
dc.contributor.author | Tapert, Susan F. | en_US |
dc.contributor.author | Grüner, Renate | en_US |
dc.contributor.editor | Kozlíková, Barbora and Linsen, Lars and Vázquez, Pere-Pau and Lawonn, Kai and Raidou, Renata Georgia | en_US |
dc.date.accessioned | 2019-09-03T13:49:07Z | |
dc.date.available | 2019-09-03T13:49:07Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-3-03868-081-9 | |
dc.identifier.issn | 2070-5786 | |
dc.identifier.uri | https://doi.org/10.2312/vcbm.20191236 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/vcbm20191236 | |
dc.description.abstract | The RxNorm vocabulary is a yearly-published biomedical resource providing normalized names for medications. It is used to capture medication use in the Adolescent Brain Cognitive Development (ABCD) study, an active and publicly available longitudinal research study following 11,800 children over 10 years. In this work, we present medUse, a visual tool allowing researchers to explore and analyze the relationship of drug category to cognitive or imaging derived measures using ABCD study data. Our tool provides position-based context for tree traversal and selection granularity of both study participants and drug category. Developed as part of the Data Exploration and Analysis Portal (DEAP), medUse is available to more than 600 ABCD researchers world-wide. By integrating medUse into an actively used research product we are able to reach a wide audience and increase the practical relevance of visualization for the biomedical field. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Human | |
dc.subject | centered computing | |
dc.subject | Information visualization | |
dc.subject | Activity centered design | |
dc.title | MedUse: A Visual Analysis Tool for Medication Use Data in the ABCD Study | en_US |
dc.description.seriesinformation | Eurographics Workshop on Visual Computing for Biology and Medicine | |
dc.description.sectionheaders | Visual Analytics in Medicine and Biology | |
dc.identifier.doi | 10.2312/vcbm.20191236 | |
dc.identifier.pages | 97-101 | |