Search Results for author: William Caicedo-Torres

Found 2 papers, 1 papers with code

ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes

1 code implementation19 May 2020 William Caicedo-Torres, Jairo Gutierrez

Accurate mortality prediction allows Intensive Care Units (ICUs) to adequately benchmark clinical practice and identify patients with unexpected outcomes.

ICU Mortality

ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU

no code implementations24 Jan 2019 William Caicedo-Torres, Jairo Gutierrez

Nevertheless, a main impediment for the adoption of Deep Learning in healthcare is its reduced interpretability, for in this field it is crucial to gain insight on the why of predictions, to assure that models are actually learning relevant features instead of spurious correlations.

Mortality Prediction

Cannot find the paper you are looking for? You can Submit a new open access paper.