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

health life sciences medicine

Description

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 atrial fibrillation/flutter (PAF), based on the ECG prior to the event. The goal of the contest is to stimulate effort and advance the state of the art in this clinically significant problem, and to foster both friendly competition and wide-ranging collaborations.

Update Frequency

Not updated

License

Open Data Commons Attribution License v1.0

Documentation

https://physionet.org/content/challenge-2001/

Managed By

PhysioNet

See all datasets managed by PhysioNet.

Contact

https://physionet.org/about/#contact_us

How to Cite

Predicting Paroxysmal Atrial Fibrillation/Flutter: The PhysioNet/Computing in Cardiology Challenge 2001 was accessed on DATE from https://registry.opendata.aws/challenge-2001.

Resources on AWS

  • Description
    https://physionet.org/content/challenge-2001/
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::physionet-open/challenge-2001/
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://physionet-open/challenge-2001/

Edit this dataset entry on GitHub

Tell us about your project

Home