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CODE-15%

Introduced by Antônio H. Ribeiro et al. in Automatic diagnosis of the 12-lead ECG using a deep neural network2 Apr 2019 archive 2025-07-28

A dataset of 12-lead ECGs with annotations. The dataset contains 345 779 exams from 233 770 patients. It was obtained through stratified sampling from the CODE dataset ( 15% of the patients). The data was collected by the Telehealth Network of Minas Gerais in the period between 2010 and 2016.

Source: CODE-15%

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
ECG Patient Identification (gallery-probe) CODE-15% ElectroCardioGuard Accuracy 60.3% ElectroCardioGuard: Preventing Patient Misidentification... captaintrojan/electrocardioguard 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 6. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Creative Commons Attribution 4.0 International

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • CODE-15%

1 variant name, as the archive lists them.

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