Resources


Challenge Open Access

RR Interval Time Series Modeling: The PhysioNet/Computing in Cardiology Challenge 2002

We are pleased to announce the third in our annual series of challenges from PhysioNet and Computers in Cardiology. We received many suggestions for challenge topics, and encourage you to write to us with further suggestions. We chose the topic for…

interbeat rr interval challenge

Published: Feb. 14, 2002. Version: 1.0.0

Challenge Open Access

Predicting Paroxysmal Atrial Fibrillation/Flutter: The PhysioNet/Computing in Cardiology Challenge 2001

Following the success of the first Computers in Cardiology Challenge, we are pleased to offer a new challenge from PhysioNet and Computers in Cardiology 2001. The challenge is to develop a fully automated method to predict the onset of paroxysmal at…

atrial fibrillation challenge ecg

Published: March 1, 2001. Version: 1.0.0

Challenge Open Access

Detecting and Quantifying Apnea Based on the ECG: The PhysioNet/Computing in Cardiology Challenge 2000

Obstructive sleep apnea (intermittent cessation of breathing) is a common problem with major health implications, ranging from excessive daytime drowsiness to serious cardiac arrhythmias. Obstructive sleep apnea is associated with increased risks of…

apnea challenge ecg

Published: Feb. 10, 2000. Version: 1.0.0

Challenge Open Access

Detecting and Quantifying T-Wave Alternans: The PhysioNet/Computing in Cardiology Challenge 2008

The ninth annual PhysioNet/Computers in Cardiology Challenge aims to improve understanding of methods for identification and analysis of T-wave alternans in the ECG.

challenge ecg

Published: March 17, 2008. Version: 1.0.0

Challenge Open Access

QT Interval Measurement: The PhysioNet/Computing in Cardiology Challenge 2006

The seventh annual PhysioNet/Computers in Cardiology Challenge addresses a question of high clinical interest: Can the QT interval be measured by fully automated methods with an accuracy acceptable for clinical evaluations?

challenge ecg

Published: Nov. 1, 2006. Version: 1.0.0

Database Open Access

PAF Prediction Challenge Database

ECG recordings created for use in the Computers in Cardiology Challenge 2001, a competition with the goal of developing automated methods for predicting paroxysmal atrial fibrillation.

challenge ecg

Published: March 1, 2001. Version: 1.0.0

Visualize waveforms

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

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.

machine learning question answering question generation

Published: July 28, 2022. Version: 1.0

Database Credentialed Access

MedNLI for Shared Task at ACL BioNLP 2019

Chaitanya Shivade

Data for the MedNLI Shared Task at the 2019 ACL BioNLP 2019 Workshop on Biomedical Language Processing

mimic natural language inference recognizing textual entailment

Published: Nov. 28, 2019. Version: 1.0.1

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