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StoryboardR: an R package and Shiny application designed to visualize real-world data from clinical patient registries
OBJECTIVES: Tumor registries are a rich source of real-world data which can be used to test important hypotheses that inform clinical care. Exploratory data analysis at the level of individual subjects, when enhanced by interactive data visualizations, has the potential to provide novel insights and...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825731/ https://www.ncbi.nlm.nih.gov/pubmed/36632327 http://dx.doi.org/10.1093/jamiaopen/ooac109 |
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author | Miller, David M Shalhout, Sophia Z |
author_facet | Miller, David M Shalhout, Sophia Z |
author_sort | Miller, David M |
collection | PubMed |
description | OBJECTIVES: Tumor registries are a rich source of real-world data which can be used to test important hypotheses that inform clinical care. Exploratory data analysis at the level of individual subjects, when enhanced by interactive data visualizations, has the potential to provide novel insights and generate new hypothesis. MATERIALS AND METHODS: We created StoryboardR: an R package and Shiny application designed to visualize real-word data from tumor registries. RESULTS: StoryboardR facilitates the data visualization of real-word data from tumor registries captured in REDCap(®). The output is an interactive timeline that allows for a visual interpretation of the relationship between potential prognostic and/or predictive biomarkers and outcomes. CONCLUSIONS: StoryboardR is freely available under the Massachusetts Institute of Technology license and can be obtained from GitHub. StoryboardR is executed in R and deployed as a Shiny application for non-R users. It produces data visualizations of patient journeys from tumor registries. |
format | Online Article Text |
id | pubmed-9825731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98257312023-01-10 StoryboardR: an R package and Shiny application designed to visualize real-world data from clinical patient registries Miller, David M Shalhout, Sophia Z JAMIA Open Application Notes OBJECTIVES: Tumor registries are a rich source of real-world data which can be used to test important hypotheses that inform clinical care. Exploratory data analysis at the level of individual subjects, when enhanced by interactive data visualizations, has the potential to provide novel insights and generate new hypothesis. MATERIALS AND METHODS: We created StoryboardR: an R package and Shiny application designed to visualize real-word data from tumor registries. RESULTS: StoryboardR facilitates the data visualization of real-word data from tumor registries captured in REDCap(®). The output is an interactive timeline that allows for a visual interpretation of the relationship between potential prognostic and/or predictive biomarkers and outcomes. CONCLUSIONS: StoryboardR is freely available under the Massachusetts Institute of Technology license and can be obtained from GitHub. StoryboardR is executed in R and deployed as a Shiny application for non-R users. It produces data visualizations of patient journeys from tumor registries. Oxford University Press 2023-01-06 /pmc/articles/PMC9825731/ /pubmed/36632327 http://dx.doi.org/10.1093/jamiaopen/ooac109 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Application Notes Miller, David M Shalhout, Sophia Z StoryboardR: an R package and Shiny application designed to visualize real-world data from clinical patient registries |
title | StoryboardR: an R package and Shiny application designed to visualize real-world data from clinical patient registries |
title_full | StoryboardR: an R package and Shiny application designed to visualize real-world data from clinical patient registries |
title_fullStr | StoryboardR: an R package and Shiny application designed to visualize real-world data from clinical patient registries |
title_full_unstemmed | StoryboardR: an R package and Shiny application designed to visualize real-world data from clinical patient registries |
title_short | StoryboardR: an R package and Shiny application designed to visualize real-world data from clinical patient registries |
title_sort | storyboardr: an r package and shiny application designed to visualize real-world data from clinical patient registries |
topic | Application Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825731/ https://www.ncbi.nlm.nih.gov/pubmed/36632327 http://dx.doi.org/10.1093/jamiaopen/ooac109 |
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