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ML-Based Early Warning System is responsible to provide the necessary notifications (warnings and/or alerts) to the end users in case of potential outbreaks taking into consideration certain rules and patterns based on Machine Learning models. Support users in order to identify needs on material resources, while assist authorities to monitor and validate the effectiveness of policies and measures that are applied.
Supported Use Cases
Predict eminent epidemics outbreaks
Addressed hazards
Innovation stage
Readiness
Crisis Cycle Phase
Crisis size
Illustrations
De Portfolio of Solutions website is oorspronkelijk in het kader van het DRIVER+-project ontwikkeld worden. Vandaag wordt de dienst door AIT Austrian Institute of Technology GmbH, ten behoeve van de Europese crisisbeheersing beheerd . PoS is door het Disaster Competence Network Austria (DCNA) en door de H2020 projecten STAMINA en TeamAware gesteund. |