Interactive Visualization of Machine Learning Model Results Predicting Infection Risk
Abstract
We 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.
BibTeX
@inproceedings {10.2312:evp.20221113,
booktitle = {EuroVis 2022 - Posters},
editor = {Krone, Michael and Lenti, Simone and Schmidt, Johanna},
title = {{Interactive Visualization of Machine Learning Model Results Predicting Infection Risk}},
author = {Schäfer, Steffen and Baumgartl, Tom and Wulff, Antje and Kuijper, Arjan and Marschollek, Michael and Scheithauer, Simone and von Landesberger, Tatiana},
year = {2022},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-185-4},
DOI = {10.2312/evp.20221113}
}
booktitle = {EuroVis 2022 - Posters},
editor = {Krone, Michael and Lenti, Simone and Schmidt, Johanna},
title = {{Interactive Visualization of Machine Learning Model Results Predicting Infection Risk}},
author = {Schäfer, Steffen and Baumgartl, Tom and Wulff, Antje and Kuijper, Arjan and Marschollek, Michael and Scheithauer, Simone and von Landesberger, Tatiana},
year = {2022},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-185-4},
DOI = {10.2312/evp.20221113}
}
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Except where otherwise noted, this item's license is described as Attribution 4.0 International License