Resources
Database Contributor Review
HiRID, a high time-resolution ICU dataset
Martin Faltys, Marc Zimmermann, Xinrui Lyu, Matthias Hüser, Stephanie Hyland, Gunnar Rätsch, Tobias Merz
icu clinical intensive care high resolution critical care machine learning
Published: Feb. 18, 2021. Version: 1.1.1
Database Contributor Review
HiRID, a high time-resolution ICU dataset
Martin Faltys, Marc Zimmermann, Xinrui Lyu, Matthias Hüser, Stephanie Hyland, Gunnar Rätsch, Tobias Merz
icu clinical intensive care high resolution critical care machine learning
Published: Feb. 18, 2021. Version: 1.1.1
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
mortality risk data science kaggle icu challenge predictive analytics women in data science
Published: Jan. 22, 2020. Version: 1.0.0
Challenge Open Access
Reducing False Arrhythmia Alarms in the ICU: The PhysioNet/Computing in Cardiology Challenge 2015
The 2015 PhysioNet/CinC Challenge aims to encourage the development of algorithms to reduce the incidence of false alarms in the Intensive Care Unit (ICU).
false alarm multiparameter icu challenge arrhythmia critical care tachycardia
Published: Feb. 15, 2015. Version: 1.0.0
Database Credentialed Access
Northwestern ICU (NWICU) database
Dana Moukheiber, William Temps, Bhadrappa Molgi, Yikuan Li, Alice Lu, Prasanth Nannapaneni, Abdulrahman Chahin, Sicheng Hao, Felipe Torres Fabregas, Leo Anthony Celi, Adrian Wong, Maxwell Lloyd, Xavier Borrat Frigola, Hyung-Chul Lee, Daniel Schneider, Tom Pollard, Yuan Luo, Abel Kho, Roger Mark
Published: Nov. 19, 2024. Version: 0.1.0
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
mortality risk data science kaggle icu challenge predictive analytics women in data science
Published: Jan. 22, 2020. Version: 1.0.0
Challenge Open Access
Reducing False Arrhythmia Alarms in the ICU: The PhysioNet/Computing in Cardiology Challenge 2015
The 2015 PhysioNet/CinC Challenge aims to encourage the development of algorithms to reduce the incidence of false alarms in the Intensive Care Unit (ICU).
false alarm multiparameter icu challenge arrhythmia critical care tachycardia
Published: Feb. 15, 2015. Version: 1.0.0
Challenge Open Access
Predicting Mortality of ICU Patients: The PhysioNet/Computing in Cardiology Challenge 2012
The focus of the PhysioNet/CinC Challenge 2012 is to develop methods for patient-specific prediction of in-hospital mortality. Participants will use information collected during the first two days of an ICU stay to predict which patients survive the…
mortality prediction ehr challenge mimic
Published: Jan. 20, 2012. Version: 1.0.0
Database Open Access
VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors
Li-wei Lehman, Benjamin Moody, Lucas McCullum, Hasan Saeed, Harsh Deep, Diane Perry, Tristan Struja, Qiao Li, Gari Clifford, Roger Mark
arrhythmia icu false alarms benchmark dataset ventricular tachycardia machine learning
Published: Oct. 1, 2024. Version: 1.0
Visualize waveformsDatabase Open Access
VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors
Li-wei Lehman, Benjamin Moody, Lucas McCullum, Hasan Saeed, Harsh Deep, Diane Perry, Tristan Struja, Qiao Li, Gari Clifford, Roger Mark
arrhythmia icu false alarms benchmark dataset ventricular tachycardia machine learning
Published: Oct. 1, 2024. Version: 1.0
Visualize waveforms