ADS & AMDS Webinar | Predictive modelling for COVID-19 patients in hospitals
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?
16:00 Welcome & Introduction
16:05 Talk by Daan de Bruin
16:25 Talk by Bart Geerts
Marc Salomon (ABS UvA, ADS) and Mark Hoogendoorn (VU, AMDS)
Daan de Bruin is a Lead Data Scientist at PacMed
Bart Geerts is Anesthetist at the Amsterdam UMC
Date: 24 June 2020
Zoom details to follow soon.