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Visual Analysis for Hospital Infection Control using a RNN Model

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)
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
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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