Resources


Challenge Credentialed Access

BioNLP Workshop 2023 Shared Task 1A: Problem List Summarization

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar

This is the data storage for BioNLP Workshop Shared Task 1A: Problem List Summarization.

bionlp clinical natural language processing electronic health record summarization

Published: Nov. 12, 2023. Version: 2.0.0

Challenge Open Access

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022

Matthew Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez Alday, Nadi Sadr, Sandra Mattos, Miguel Coimbra, Reza Sameni, Ali Bahrami Rad, Zuzana Koscova, Gari Clifford

2022 Physionet Challenge is devoted to detecting the presence or absence of murmurs from multiple heart sound recordings from multiple auscultation locations, as well as detecting the clinical outcomes.

challenge competition cardiac auscultation congenital heart diseases

Published: Sept. 28, 2023. Version: 1.0.0

Challenge Credentialed Access

CXR-LT: Multi-Label Long-Tailed Classification on Chest X-Rays

Gregory Holste, Song Wang, Ajay Jaiswal, Yuzhe Yang, Mingquan Lin, Yifan Peng, Atlas Wang

CXR-LT 2023 was a challenge for long-tailed, multi-label thorax disease classification on chest X-rays, held in conjunction with the ICCV 2023 workshop, CVAMD. This page contains extended long-tailed versions of the MIMIC-CXR-JPG v2.0.0 dataset.

Published: Sept. 28, 2023. Version: 1.1.0

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

Challenge Open Access

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

Matthew Reyna, Nadi Sadr, Annie Gu, Erick Andres Perez Alday, Chengyu Liu, Salman Seyedi, Amit Shah, Gari Clifford

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

Visualize waveforms

Challenge Open Access

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

Erick Andres Perez Alday, Annie Gu, Amit Shah, Chengyu Liu, Ashish Sharma, Salman Seyedi, Ali Bahrami Rad, Matthew Reyna, Gari Clifford

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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Challenge Open Access

Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings: The 4th China Physiological Signal Challenge 2021

Xingyao Wang, Caiyun Ma, Xiangyu Zhang, Hongxiang Gao, Gari D. Clifford, Chengyu Liu

CPSC2021 for paroxysmal atrial fibrillation events detection.

event detection paroxysmal atrial fibrillation

Published: June 21, 2021. Version: 1.0.0

Visualize waveforms

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

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

mortality risk data science kaggle icu challenge predictive analytics women in data science

Published: Jan. 22, 2020. Version: 1.0.0

Challenge Open Access

Early Prediction of Sepsis from Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019

Matthew Reyna, Chris Josef, Russell Jeter, Supreeth Shashikumar, Benjamin Moody, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford

The 2019 PhysioNet Computing in Cardiology Challenge invites participants to predict sepsis in clinical data

prediction sepsis challenge

Published: Aug. 5, 2019. Version: 1.0.0

Challenge Open Access

You Snooze You Win: The PhysioNet/Computing in Cardiology Challenge 2018

The goal of the challenge is use information from the available signals to correctly classify target arousal regions.

apnea circadian sleep challenge polysomnography

Published: Feb. 21, 2018. Version: 1.0.0