Search Results for author:
Found 3 papers, 0 papers with code
Patient Subtyping with Disease Progression and Irregular Observation Trajectories
We also show that our model results in a 13% reduction in average cross-entropy error compared to a model with no state progression when forecasting vital signs.
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks
The MIMIC-CXR dataset is (to date) the largest released chest x-ray dataset consisting of 473, 064 chest x-rays and 206, 574 radiology reports collected from 63, 478 patients.
An Ensemble Boosting Model for Predicting Transfer to the Pediatric Intensive Care Unit
Our work focuses on the problem of predicting the transfer of pediatric patients from the general ward of a hospital to the pediatric intensive care unit.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
