Challenge Open 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:

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

Published: Jan. 22, 2020. Version: 1.0.0

Database Open Access

Motion Artifact Contaminated fNIRS and EEG Data

This data collection, contributed to PhysioBank by Kevin Sweeney and colleagues at the National University of Ireland in Maynooth, contains examples of functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) recordings that have…

artifact eeg spectroscopy noise multiparameter

Published: March 3, 2014. Version: 1.0.0

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Challenge Open Access

2018 IEEE BHI and BSN Data Challenge

Tom Pollard, Alistair Johnson, Jesse Raffa

A challenge to explore real clinical questions in critically ill patients using the MIMIC. A collaboration with the IEEE Conference on Biomedical and Health Informatics 2018 and the IEEE Conference on Body Sensor Networks.

mimic challenge weekend effect ieee

Published: Feb. 5, 2018. Version: 1.0

Database Open Access

eICU Collaborative Research Database Demo

Alistair Johnson, Tom Pollard, Omar Badawi, Jesse Raffa

An openly available subset of the eICU Collaborative Research Database.

critical care eicu open data medical informatics

Published: July 15, 2019. Version: 2.0

Challenge Open Access

Mind the Gap - The PhysioNet Computing in Cardiology Challenge 2010

The aim of this year's challenge is to develop robust methods for filling in gaps in multiparameter physiologic data (including ECG signals, continuous blood pressure waveforms, and respiration).

ecg challenge missing data multiparameter

Published: Dec. 1, 2010. 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 Clifford

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

prediction challenge sepsis

Published: Aug. 5, 2019. Version: 1.0.0

Database Open Access

Tappy Keystroke Data

This is the keystroke dataset for the study titled 'High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing'. This research report is currently under review for publication by P…

movement parkinsons neuroelectric

Published: Oct. 20, 2017. Version: 1.0.0

Challenge Open Access

Robust Detection of Heart Beats in Multimodal Data - The PhysioNet Computing in Cardiology Challenge 2014

This challenge aims to encourage the exploration of robust methods for locating heart beats in continuous long-term data from bedside monitors and similar devices that record not only ECG but usually other physiologic signals as well, including puls…

ecg challenge multiparameter

Published: Jan. 7, 2014. Version: 1.0.0

Database Credentialed Access

MIMIC-CXR-JPG - chest radiographs with structured labels

Alistair Johnson, matt lungren, Yifan Peng, Zhiyong Lu, Roger Mark, Seth Berkowitz, Steven Horng

Chest x-rays in JPG format with structured labels derived from the associated radiology report.

mimic computer vision radiology deep learning chest x-ray

Published: Nov. 14, 2019. Version: 2.0.0

Database Open Access

Wilson Central Terminal ECG Database

Hossein Moeinzadeh, Gaetano Gargiulo

This dataset contains the true unipolar leads associated with three limb leads and six precordial leads. The true unipolar leads include the potential of Einthoven limbs, six electrodes on the chest, and the Wilson Central Terminal (WCT).

wilson central terminal limb potential ecg electrocardiography unipolar lead

Published: Nov. 13, 2019. Version: 1.0.1

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