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GitHub / boldirev-as / AIIJC-medtech23

The solution for the AI-challenge hackathon is track Medicine. The task was to develop an algorithm for analyzing ECG signals for the diagnosis of cardiac pathologies, in particular, determining the presence or absence of signs of myocardial infarction in a patient (binary class.), followed by localization of the disease (multi-label class.)

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/boldirev-as%2FAIIJC-medtech23

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 103 MB
Dependencies: 18

Created: 9 months ago
Updated: 4 months ago
Last pushed: 5 months ago
Last synced: 4 months ago

Topics: multilabel-classification, r-peak-detection, resnet1d, wavelet-transform

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    Dependencies
    augmentation/environment.yml pypi