Data Science

Assessing the quality of online health information with AI.

Novel computational method for drug-drug interaction predictions which are an important consideration for patient treatment.

Using deep learning for automatically generated medical reports describing radiological images.

We conclude that data from patient timelines improve 30 day readmission prediction, that a logistic regression with LASSO has equal performance to the best neural network model and that the use of administrative data result in competitive performance compared to published approaches based on richer clinical datasets.

Our collaborators at the USZ Institute of Intensive Care Medicine, specialising in recovery after neurosurgery are looking for Master students in ML for respiratory failure prediction and prevention. Check out the call on their website For questions and for applying you can turn to Una Pale.