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GitHub / gireeshkbogu / LAAD

Uses LSTM-based autoencoders to detect abnormal resting heart rate during the coronavirus (SARS-CoV-2) infectious period using the wearables data.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gireeshkbogu%2FLAAD

Stars: 7
Forks: 6
Open Issues: 1

License: mit
Language: Python
Repo Size: 92.4 MB
Dependencies: pending

Created: over 3 years ago
Updated: 7 months ago
Last pushed: over 3 years ago
Last synced: 7 months ago

Topics: anomaly-detection-algorithm, autoencoder, coronavirus, covid-19, deep-learning, heart-rate, lstm, sars-cov-2, wearables

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