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

Amsterdam Data Science (ADS) and Amsterdam Medical Data Science (AMDS) are co-hosting a new lecture series in collaboration with Elsevier and Google to explore The Power and Weakness of Data Modelling in COVID-19.

Aims of this series:

Showcase the power and limitations of data centred approaches
Jointly understand and learn from the different COVID approaches and views
Shape the time for Data Science research/education after the lock-down

Lecture 3: Predictive modelling for COVID-19 patients in hospitals

As COVID-19 is a relatively new disease in Dutch hospitals there are still quite some unknowns around COVID-19 patients: what are the prospects of individual patients? What are the best treatments given certain patient characteristics? Within the hospitals a wealth of data is being collected around such COVID-19 patients. Can we leverage this data using data science techniques to improve medical care, i.e. help patients and doctors?

Programme
16:00 Welcome & Introduction
16:05 Talk by Daan de Bruin
16:25 Talk by Bart Geerts
16:45 Q&A
17:00 End!

Moderators
Marc Salomon (ABS UvA, ADS) and Mark Hoogendoorn (VU, AMDS)

Speakers
Daan de Bruin is a Lead Data Scientist at PacMed

Bart Geerts is Anesthetist at the Amsterdam UMC

Date: 24 June 2020
Time: 12:00-13:00

Zoom details to follow soon.