ADS & AMDS Webinar | Predictive modelling for COVID-19 patients in hospitals
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 www.windfall.ai.
Check out Amsterdam Economic Board’s article on this webinar.
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