Software development for online statistical reporting/forecasting/incident (anomaly) detection
Software development for online statistical reporting/forecasting/incident (anomaly) detection
Online statistical reporting refers to statistical reports containing exploratory statistics, client-specific hypothesis tests and predictive models, which are updated as new data become available in each health-care provider’s database. This extends to a) online forecasting where for example, inventory management in dentist clinics depends on forecasts of the available stock (materials and equipment) that are updated on a daily basis and b) online incident/anomaly/outlier detection where for instance, each new patient is characterized relative to the existing ones in a database.
IACM lab (ΚΡΗΤΗ) - Statistical Learning Lab
Υπέυθυνος Επικοινωνίας: Γιάννης Καμαριανάκης
Email: kamarian@iacm.forth.gr