Visual Analysis for Hospital Infection Control using a RNN Model
Date
2020Author
Müller, Martin
Baumgartl, Tom
Eichel, Vanessa
Scheithauer, Simone
Marschollek, Michael
Metadata
Show full item recordAbstract
Bacteria and viruses are transmitted among patients in the hospital. Infection control experts develop strategies for infection control. Currently, this is done mostly manually, which is time-consuming and error-prone. Visual analysis approaches mainly focus disease spread on population level.We learn a RNN model for detection of potential infections, transmissions and infection factors. We present a novel interactive visual interface to explore the model results. Together with infection control experts, we apply our approach to real hospital data. The experts could identify factors for infections and derive infection control measures.
BibTeX
@inproceedings {10.2312:eurova.20201090,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
editor = {Turkay, Cagatay and Vrotsou, Katerina},
title = {{Visual Analysis for Hospital Infection Control using a RNN Model}},
author = {Müller, Martin and Petzold, Markus and Wunderlich, Marcel and Baumgartl, Tom and Höhn, Markus and Eichel, Vanessa and Mutters, Nico T. and Scheithauer, Simone and Marschollek, Michael and Landesberger, Tatiana von},
year = {2020},
publisher = {The Eurographics Association},
ISSN = {2664-4487},
ISBN = {978-3-03868-116-8},
DOI = {10.2312/eurova.20201090}
}
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
editor = {Turkay, Cagatay and Vrotsou, Katerina},
title = {{Visual Analysis for Hospital Infection Control using a RNN Model}},
author = {Müller, Martin and Petzold, Markus and Wunderlich, Marcel and Baumgartl, Tom and Höhn, Markus and Eichel, Vanessa and Mutters, Nico T. and Scheithauer, Simone and Marschollek, Michael and Landesberger, Tatiana von},
year = {2020},
publisher = {The Eurographics Association},
ISSN = {2664-4487},
ISBN = {978-3-03868-116-8},
DOI = {10.2312/eurova.20201090}
}