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Track: #AI / out of the box
- Mittwoch
22.06.
Der Einsatz von Künstlicher Intelligenz zur Betrugserkennung bei Heilmittel- und Pflegeleistungen in der gesetzlichen Krankenversicherung. Von der Pseudonymisierung und Digitalisierung der Abrechnungsbögen bis zur Analyse, Auswertung und Darstellung der Anomalien - Ein Projektbericht!
Zielpublikum: Management, Data Scientists, Data Engineers
Voraussetzungen: Experience, Curiosity
Schwierigkeitsgrad: Fortgeschritten
The Coronavirus lockdowns altered public transport occupation data. Ultimately, these changes in occupation data are perfect examples of sudden concept drifts that can be blockers in most machine learning deployments. We managed to overcome the obstacles by developing methods and engineering features that allowed us to adjust forecasts based on unforeseen changes in the occupation data. In this talk, we give insights into our journey from idea development to the ways how we overcame the…