Resources


Database Credentialed Access

INSPIRE, a publicly available research dataset for perioperative medicine

Leerang Lim, Hyung-Chul Lee

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.

surgery open dataset multi-center perioperative medicine

Published: Aug. 12, 2024. Version: 1.3

Database Open Access

I-CARE: International Cardiac Arrest REsearch consortium Database

Edilberto Amorim, Wei-Long Zheng, Jong Woo Lee, et al.

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: Dec. 14, 2023. Version: 2.1

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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, et al.

A SaO2-SpO2 Pairs Dataset derived from MIMIC-IV

pulse oximetry health equity machine learning

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, et al.

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, et al.

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

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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, et al.

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

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

Published: Feb. 23, 2022. Version: 1.0.0

Database Open Access

MIMIC-III Waveform Database Matched Subset

Benjamin Moody, George Moody, Mauricio Villarroel, et al.

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

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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…

clinical intensive care critical care natural language processing machine learning

Published: Sept. 4, 2016. Version: 1.4