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

Database Restricted Access

KURIAS-ECG: a 12-lead electrocardiogram database with standardized diagnosis ontology

Hakje Yoo, Yunjin Yum, Soowan Park, Jeong Moon Lee, Moonjoung Jang, Yoojoong Kim, Jong-Ho Kim, Hyun-Joon Park, Kap Su Han, Jae Hyoung Park, Hyung Joon Joo

The KURIAS-ECG database is a high-quality 12-lead ECG DB including standard vocabulary (SNOMED CT, OMOP-CDM), and ECG diagnoses of our DB are grouped into 10 diagnoses by applying the minnesota code.

snomed 12-lead minnesota ecg

Published: Nov. 8, 2021. Version: 1.0

Challenge Open Access

Mind the Gap: The PhysioNet/Computing in Cardiology Challenge 2010

The aim of this year's challenge is to develop robust methods for filling in gaps in multiparameter physiologic data (including ECG signals, continuous blood pressure waveforms, and respiration).

missing data multiparameter challenge ecg

Published: Dec. 1, 2010. Version: 1.0.0

Software Open Access

R-DECO: An open-source Matlab based graphical user interface for the detection and correction of R-peaks

Jonathan Moeyersons, Matthew Amoni, Sabine Van Huffel, Rik Willems, Carolina Varon

An open-source Matlab based graphical user interface for the detection and correction of R-peaks.

algorithms and analysis of algorithms signal processiong visual analysis graphical user interface

Published: Sept. 8, 2020. Version: 1.0.0

Challenge Open Access

Mind the Gap: The PhysioNet/Computing in Cardiology Challenge 2010

The aim of this year's challenge is to develop robust methods for filling in gaps in multiparameter physiologic data (including ECG signals, continuous blood pressure waveforms, and respiration).

missing data multiparameter challenge ecg

Published: Dec. 1, 2010. Version: 1.0.0