TAISIG Talks 14 - Part 3 by Marijn and Boris: Predicting patient deterioration using data science
Channel: TilburgUniversity
Date: 2022-05-24

In the last part of the 14th edition of TAISIG Talks, dr. Marijn van Wingerden and Boris  Čule discuss their shared research on predicting patient deterioration using data science methods. To what extent do neural networks, trained on static or dynamic data, predict deterioration better and provide more clinical utility to the Elisabeth-Tweesteden Hospital than the MEWS (Modified Early Warning Score) and DI (Deterioration Index)?

To facilitate collaboration among researchers from different AI related fields, in the TAISIG Talks series, Tilburg University brings together AI experts from various domains to discuss their most recent findings. Each Talk features scientists with different backgrounds and at different stages in their careers.

More information on TAISIG: https://tilburguniversity.edu/taisig.