Resources


Database Credentialed Access

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

Jesse Raffa, Alistair Johnson, Tom Pollard, Omar Badawi

GOSSIS-1 is an in-hospital mortality prediction algorithm for critical care patients. GOSSIS-1 was trained using data from three countries. This dataset corresponds with the USA subset of the GOSSIS-1 dataset for the 2022 publication below.

icu critical care severity of illness global gossis apache mortality prediction benchmarking

Published: July 20, 2022. Version: 1.0.0

Challenge Restricted Access

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction

Meredith Lee, Jesse Raffa, Marzyeh Ghassemi, Tom Pollard, Sharada Kalanidhi, Omar Badawi, Karen Matthys, Leo Anthony Celi

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction focuses on patient health. Join a team, explore the data, and share your insights: http://bit.ly/WiDSdatathon2020

mortality risk data science kaggle challenge icu predictive analytics women in data science

Published: Jan. 22, 2020. Version: 1.0.0

Database Open Access

eICU Collaborative Research Database Demo

Alistair Johnson, Tom Pollard, Omar Badawi, Jesse Raffa

An openly available subset of the eICU Collaborative Research Database.

medical informatics open data eicu critical care

Published: May 6, 2021. Version: 2.0.1

Database Credentialed Access

eICU Collaborative Research Database

Tom Pollard, Alistair Johnson, Jesse Raffa, Leo Anthony Celi, Omar Badawi, Roger Mark

Multi-center database comprising deidentified health data associated with over 200,000 admissions to ICUs across the United States between 2014-2015.

telemedicine icu critical care

Published: April 15, 2019. Version: 2.0

Database Restricted Access

In-hospital physical activity measured with a new Bosch accelerometer sensor system

Severin Schricker, Nico Schmid, Moritz Schanz, Martin Kimmel, Mark Dominik Alscher

Measurements of physical activity with wrist-worn Bosch sensor platform to test predictive performance for the duration of hospitalization and readmission in 58 patients with acute illnesses in internal medicine

prediction acute illness hospitalization readmission accelerometry accelerometer

Published: Dec. 3, 2020. Version: 1.0