GOSSIS-1-eICU, the eICU-CRD subset of the Global Open Source Severity of Illness Score (GOSSIS-1) dataset

GOSSIS-1 is a modern, free, open-source in-hospital mortality prediction
algorithm for critical care patients, achieving excellent discrimination and
calibration across three countries (Australia, New Zealand and the USA).
GOSSIS-1 was developed on two large datasets of critical care patients. This
project contains the USA subset of patients derived from the eICU
Collaborative Research Database (eICU-CRD). The dataset, which we call
GOSSIS-1-eICU, consists of 131,051 unique patients from 204 hospitals from ICU
admissions discharged in 2014-15. The code to create the dataset from eICU-CRD
and generate GOSSIS-1 predictions are also available. This project contains:
1) the derived dataset from eICU-CRD, 2) the dataset with required missing
data imputed and 3) the GOSSIS-1 in-hospital predictions (probabilities. The
`patientunitstayid` and `hospitalid` eICU-CRD identifiers are included to
allowing linking back to eICU-CRD. Training and test sets are identified to
allow for direct comparisons of performance.