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

Home Page: https://github.com/gireeshkbogu/LAAD

License: MIT License

Shell 3.85% R 22.29% Python 73.86%
wearables lstm autoencoder heart-rate anomaly-detection-algorithm covid-19 sars-cov-2 coronavirus deep-learning

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yongboliang thaynarosil ruhi2007 farhanfuadabir maharajamihir altaykacan

laad's Issues

Regarding the labels (symptom and diagnosis dates)

Dear sir/madam,

thanks so much for your great work and I am doing some research in this domain as well at West Virginia University. I couldn't find the symptom and diagnosis dates for the subjects so that I can train models on them. Could you kindly help?

Best regards,
Omid

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