Resources


Challenge Open Access

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021

Matthew Reyna, Nadi Sadr, Annie Gu, et al.

Will Two Do? Varying Dimensions in Electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021

challenge cardiac abnormalities multilead ecgs classification competition

Published: July 29, 2022. Version: 1.0.3

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Challenge Open Access

Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020

Erick Andres Perez Alday, Annie Gu, Amit Shah, et al.

The goal of the 2020 PhysioNet - Computing in Cardiology Challenge is to design and implement a working, open-source algorithm that can automatically identify cardiac abnormalities in 12-lead ECG recordings.

Published: July 29, 2022. Version: 1.0.2

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Database Credentialed Access

Learning to Ask Like a Physician: a Discharge Summary Clinical Questions (DiSCQ) Dataset

Eric Lehman

Dataset of questions asked by medical experts about patients. Medical experts will read a discharge summary line-by-line and (1) ask any question that they may have and (2) record what in the text "triggered" them to ask their question.

question generation question answering machine learning

Published: July 28, 2022. Version: 1.0

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 Contributor Review

BRATECA (Brazilian Tertiary Care Dataset): a Clinical Information Dataset for the Portuguese Language

Henrique Dias, Ana Helena Dias Pereira dos Ulbrich

Brazilian clinical dataset containing over 70,000 admissions from 10 hospitals in two Brazilian states.

prescriptions exams tertiary care natural language processing clinical notes

Published: July 14, 2022. Version: 1.1

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 Open Access

MIMIC-IV-ECG Demo - Diagnostic Electrocardiogram Matched Subset Demo

Brian Gow, Tom Pollard, Larry A Nathanson, et al.

The MIMIC-IV ECG Demo module contains 659 diagnostic electrocardiograms across 92 unique patients. These 92 patients overlap with the patients from the MIMIC-IV Clinical Demo and are also part of the MIMIC-IV Clinical Database.

Published: June 30, 2022. Version: 0.1

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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 Open Access

Cardiorespiratory measurement from graded cycloergometer exercise testing

Clovis Chabert, Denis Mongin, Eric Hermand, et al.

Cardiorespiratory measurements acquired during 18 exercise tests performed at French West Indies University

Published: June 30, 2022. Version: 1.0.0

Software Open Access

WFDB Software Package

George Moody, Tom Pollard, Benjamin Moody

The original Waveform Database Software (WFDB) Package, in C.

waveform wfdb

Published: June 20, 2022. Version: 10.7.0