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.
severity of illness
Published: July 20, 2022.
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
women in data science
Published: Jan. 22, 2020.
An openly available subset of the eICU Collaborative Research Database.
Published: May 6, 2021.
Leo Anthony Celi,
Multi-center database comprising deidentified health data associated with over 200,000 admissions to ICUs across the United States between 2014-2015.
Published: April 15, 2019.
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
Published: Dec. 3, 2020.