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 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…

health record mimic ehr icu critical care

Published: March 15, 2000. Version: 1.0.0

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Database Credentialed Access

INSPIRE, a publicly available research dataset for perioperative medicine

Hyung-Chul Lee, Leerang Lim

A public dataset that contains information related to surgery, anesthesia, laboratory results, medications, diagnosis, and outcomes from 50% of the patients who received surgery at Seoul National University Hospital between 2011 and 2020.

perioperative medicine surgery multi-center open dataset

Published: Nov. 3, 2023. Version: 1.1

Database Open Access

I-CARE: International Cardiac Arrest REsearch consortium Database

Edilberto Amorim, Wei-Long Zheng, Jong Woo Lee, Susan Herman, Mohammad Ghassemi, Adithya Sivaraju, Nicolas Gaspard, Jeannette Hofmeijer, Michel J A M van Putten, Matthew Reyna, Gari Clifford, Brandon Westover

The clinical and EEG data for this dataset originates from seven academic hospitals in the U.S. and Europe led by investigators part of the International Cardiac Arrest REsearch consortium (I-CARE).

Published: June 16, 2023. Version: 2.0

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Challenge Credentialed Access

MIT Critical Datathon 2023: a MIMIC-IV Derived Dataset for Pulse Oximetry Correction Models

João Matos, Tristan Struja, David S Restrepo, Luis Filipe Nakayama, Jack Gallifant, Luca Weishaupt, Nikita Mullangi, Maria Loureiro, Skyler Shapiro, Adrien Carrel, Leo Anthony Celi

A SaO2-SpO2 Pairs Dataset derived from MIMIC-IV

machine learning health equity pulse oximetry

Published: May 8, 2023. Version: 1.0.0

Database Credentialed Access

MIMIC-III Clinical Database CareVue subset

Alistair Johnson, Tom Pollard, Roger Mark

A subset of the MIMIC-III Clinical Database containing only patients admitted from 2001 - 2008.

Published: Sept. 21, 2022. Version: 1.4

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 Open Access

MIMIC-IV Waveform Database

Benjamin Moody, Sicheng Hao, Brian Gow, Tom Pollard, Wei Zong, Roger Mark

The MIMIC-IV Waveform Database collects physiological signals and measurements from ICU bedside monitors. Coupled with the clinical information available in MIMIC-IV, it provides a detailed view into the physiology of critically ill patients.

Published: July 10, 2022. Version: 0.1.0

Visualize waveforms

Database Credentialed Access

Critical care database comprising patients with infection at Zigong Fourth People's Hospital

Ping Xu, Lin Chen, Zhongheng Zhang

Routinely collected data from critical care units at Zigong Fourth People’s Hospital, Sichuan, China for patients admitted between January 2019 and December 2020 Missing information on temperature are updated in the new version.

Published: June 30, 2022. Version: 1.1

Database Credentialed Access

Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project

Nicholas Kuo, Simon Finfer, Louisa Jorm, Sebastiano Barbieri

This repository hosts the original Health Gym datasets of Acute Hypotension and Sepsis

sepsis machine learning acute hypotension reinforcement learning synthetic dataset generative modelling wasserstein generative adversarial network

Published: Feb. 23, 2022. Version: 1.0.0