Using Shiny apps for statistical analyses and laboratory workflows
Abstract: In many areas of healthcare, digitization has progressed only slowly so far. The SARS-CoV-2 pandemic in particular has shown how valuable software solutions that are deployable at short notice, can be. In this review we present some selected possibilities of the easy-to-learn programming language R and demonstrate potential applications of the package Shiny in the fields of statistical analysis and laboratory medicine. In addition to a brief tabular overview of published applications, we present two examples of their use in routine laboratory workflows. The first example demonstrates how a Shiny app can be used to estimate the minimal difference (MD) of laboratory analytes, while the second example illustrates how pre- and post-analytical processing steps can be integrated into a fully automated workflow using R and the Shiny package.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Using Shiny apps for statistical analyses and laboratory workflows ; volume:47 ; number:4 ; year:2023 ; pages:149-153 ; extent:05
Journal of laboratory medicine ; 47, Heft 4 (2023), 149-153 (gesamt 05)
- Creator
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Gebauer, Julian E.
Adler, Jakob
- DOI
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10.1515/labmed-2023-0020
- URN
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urn:nbn:de:101:1-2023080514035620999233
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:51 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Gebauer, Julian E.
- Adler, Jakob
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