Erkennung und Steuerung epidemiologischer Gefahrenlagen (ESEG)

Duration: 07/2018 - 07/2021ESEG Logo
Partners: Gesundheitsamt Frankfurt; Epias GmbH; Hessisches Landesprüfungs- und Untersuchungsamt im Gesundheitswesen (HLPUG); Hessisches Ministerium für Soziales und Integration; Robert Koch-Institut; Sana Klinikum Offenbach GmbH
Funding: Bund

The project is conducted in cooperation with epidemiologists and other medical staff from medical institutes and hospitals. The project will investigate machine learning techniques that are suitable for identifying epidemiological hazards, such as disease outbreaks, from near-realtime clinical data such as those generated by emergency services and emergency rooms in hospitals. For this purpose, methods of anomaly detection and time series analysis shall be used. Of particular interest in this sensitive field are methods for generating interpretable models, such as rules, that may be extracted from more complex models or generated interactively with a domain expert.



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Knowledge Engineering Group

Fachbereich Informatik
TU Darmstadt

S2|02 D203
Hochschulstrasse 10

D-64289 Darmstadt

Telefon-Symbol+49 6151 16-21811
Fax-Symbol +49 6151 16-21812

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