Dear Challengers,
We are delighted to announce that we are now accepting submissions to the
George B. Moody PhysioNet Challenge 2025: Detection of Chagas Disease from the ECG.
This Challenge invites teams to develop algorithms for using electrocardiograms (ECGs) to identify cases of Chagas disease, which can cause congestive heart failure if untreated.
We are now sharing training data that contain a mixture of large datasets with weak labels and smaller datasets with strong labels, including
- the CODE-15% dataset, which contains over 300,000 12-lead ECGs with self-reported Chagas labels;
- the SaMi-Trop dataset, which contains 1,631 12-lead ECGs with validated positive Chagas labels; and
- the PTB-XL dataset, which contains 21,779 12-lead ECGs with (most likely) negative Chagas labels from a non-endemic area of the world.
We have also shared
example submissions and
scoring code, which reflects the local testing capacity, to help you develop your algorithms for the Challenge.
Before you submit your code, please read the
submission instructions, double check your code,
register your team if you haven't done so already, and
submit an entry when ready
As always, we strongly encourage you to share your feedback to help us improve the Challenge. We are already planning improvements for the official phase, and your feedback is as essential as ever.
For more information and rules, please see the
Challenge website and the
launch announcement. For public feedback, please post on the
Challenge forum.
As always, please check the deadlines: to be eligible for an official ranking and prize, you must submit a working entry before the end of the unofficial phase and an abstract describing your (very!) preliminary results by the abstract submission deadline. Please see the website for all
key dates.
Many thanks again for your continued support of this event, and we hope that you enjoy the 2025 Challenge!
Best,
Matt
(On behalf of the Challenge team.)
Please post questions and comments in the forum. However, if your question reveals information about your entry, then please email info at
physionetchallenge.org. We may post parts of our reply publicly if we feel that all Challengers should benefit from it. We will not answer emails about the Challenge to any other address. This email is maintained by a group. Please do not email us individually.