ADS & AMDS Webinar | Predictive modelling for COVID-19 patients in hospitals

In the second webinar in the ADS & AMDS Data & COVID-19 series, Daan de Bruin, lead Data Scientist at PacMed, and Bjorn van der Ster, postdoctoral researcher at the Amsterdam UMC, talked about predictive modelling for COVID-19 patients in hospitals.

Watch the full webinar.

Key Takeaways

Daan de Bruin’s talk highlighted:
1. The challenges of dealing with large data sets of such a huge number of different medical institutions
2. The infrastructure built to combine and standardise the various data sources
3. The opportunities for improving COVID-19 treatment originating from ICUs joining forces

Bjorn van der Ster had been working on a well-performing model to predict influenza outbreaks and peak admissions at a local level. With the outbreak of COVID-19, he and his partners were able to pivot to  focus on re-presentation of available public data in a more visual way and focus on local trends of the virus. The first version of this first efforts can now be found on

Check out Amsterdam Economic Board’s article on this webinar.

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