Metadata-Version: 1.1
Name: iseeu
Version: 0.1.2
Summary: ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU
Home-page: https://github.com/williamcaicedo/ISeeU
Author: William Caicedo-Torres
Author-email: UNKNOWN
License: MIT
Description: A ConvNet trained on MIMIC-III data for mortality prediction inside the Intensive Care Unit. It uses a set of 22 predictors sampled during the first 48h of ICU stay to predict the probability of mortality. This set of predictors roughly corresponds to those used by the SAPS-II severity score
            
Keywords: Deep Learning,Mortality prediction,Shapley values
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
