Interactive Visualization of Machine Learning Model Results Predicting Infection Risk

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dc.contributor.authorSchäfer, Steffenen_US
dc.contributor.authorBaumgartl, Tomen_US
dc.contributor.authorWulff, Antjeen_US
dc.contributor.authorKuijper, Arjanen_US
dc.contributor.authorMarschollek, Michaelen_US
dc.contributor.authorScheithauer, Simoneen_US
dc.contributor.authorvon Landesberger, Tatianaen_US
dc.contributor.editorKrone, Michaelen_US
dc.contributor.editorLenti, Simoneen_US
dc.contributor.editorSchmidt, Johannaen_US
dc.date.accessioned2022-06-02T15:29:05Z
dc.date.available2022-06-02T15:29:05Z
dc.date.issued2022
dc.description.abstractWe present a novel visual-interactive interface to show results of a machine learning algorithm, which predicts the infection probability for patients in hospitals. The model result data is complex and needs to be presented in a clear and intuitive way to microbiology and infection control experts in hospitals. Our visual-interactive interface offers linked views which allow for detailed analysis of the model results. Feedback from microbiology and infection control experts showed that they were able to extract new insights regarding outbreaks and transmission pathways.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2022 - Posters
dc.identifier.doi10.2312/evp.20221113
dc.identifier.isbn978-3-03868-185-4
dc.identifier.pages31-33
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/evp.20221113
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evp20221113
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing --> Visual analytics; Computing methodologies --> Artificial intelligence
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.subjectComputing methodologies
dc.subjectArtificial intelligence
dc.titleInteractive Visualization of Machine Learning Model Results Predicting Infection Risken_US
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