Resources


Challenge Open 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

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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).

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Published: Feb. 15, 2015. Version: 1.0.0


Database Credentialed Access

HiRID, a high time-resolution ICU dataset

Martin Faltys, Marc Zimmermann, Xinrui Lyu, Matthias Hüser, Stephanie Hyland, Gunnar Rätsch, Tobias Merz

The HiRID database contains a large selection of all routinely collected data relating to patient admissions to the Department of Intensive Care Medicine of the Bern University Hospital, Switzerland (ICU).

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Published: May 31, 2020. Version: 1.0


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…

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Published: Jan. 20, 2012. Version: 1.0.0


Database Open Access

MIMIC Database

The MIMIC Database includes data recorded from over 90 ICU patients. The data in each case include signals and periodic measurements obtained from a bedside monitor as well as clinical data obtained from the patient's medical record. The recordi…

mimic health record ehr icu critical care

Published: March 15, 2000. Version: 1.0.0

Visualize waveforms

Database Credentialed Access

MIMIC-III Clinical Database

Alistair Johnson, Tom Pollard, Roger Mark

MIMIC-III is a large, freely-available database comprising deidentified health-related data associated with over forty thousand patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. The databas…

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Published: Sept. 4, 2016. Version: 1.4


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.

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Published: April 15, 2019. Version: 2.0


Database Open Access

MIMIC-III Waveform Database Matched Subset

Benjamin Moody, George Moody, Mauricio Villarroel, Gari Clifford, Ikaro Silva

Physiological signals (including continuous ECG, PPG, ABP, and other signals) that are associated with patients in the MIMIC-III Clinical Database.

Published: April 7, 2020. Version: 1.0

Visualize waveforms

Database Open Access

MIMIC-III Waveform Database

Benjamin Moody, George Moody, Mauricio Villarroel, Gari Clifford, Ikaro Silva

The MIMIC-III Waveform Database contains numerous physiological signals (including continuous ECG, PPG, ABP, and other signals) and periodic measurements, recorded by bedside patient monitors from about 30,000 patients in intensive care units.

Published: April 7, 2020. Version: 1.0

Visualize waveforms