Müller, Martin ; Petzold, Markus ; Wunderlich, Marcel ; Baumgartl, Tom ; Höhn, Markus ; Eichel, Vanessa ; Mutters, Nico (2020)
Visual Analysis for Hospital Infection Control using a RNN Model.
EuroVA 2020: 11th International EuroVis Workshop on Visual Analytics. virtual Conference (25.05.2020-25.05.2020)
doi: 10.2312/eurova.20201090
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Müller, Martin ; Petzold, Markus ; Wunderlich, Marcel ; Baumgartl, Tom ; Höhn, Markus ; Eichel, Vanessa ; Mutters, Nico |
| Art des Eintrags: | Bibliographie |
| Titel: | Visual Analysis for Hospital Infection Control using a RNN Model |
| Sprache: | Englisch |
| Publikationsjahr: | 2020 |
| Veranstaltungstitel: | EuroVA 2020: 11th International EuroVis Workshop on Visual Analytics |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 25.05.2020-25.05.2020 |
| DOI: | 10.2312/eurova.20201090 |
| URL / URN: | https://diglib.eg.org/handle/10.2312/2632904 |
| Kurzbeschreibung (Abstract): | 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. |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 29 Mai 2020 06:07 |
| Letzte Änderung: | 29 Mai 2020 06:27 |
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