A Machine Learning Early Warning System: Multicenter Validation in Brazilian Hospitals

1 code implementation • 9 Jun 2020 • Jhonatan Kobylarz, Henrique D. P. dos Santos, Felipe Barletta, Mateus Cichelero da Silva, Renata Vieira, Hugo M. P. Morales, Cristian da Costa Rocha

In this work we used 121, 089 medical encounters from six different hospitals and 7, 540, 389 data points, and we compared popular ward protocols with six different scalable machine learning methods (three are classic machine learning models, logistic and probabilistic-based models, and three gradient boosted models).

BIG-bench Machine Learning