predicting the number of COVID-19 infections with LSTM

Version 1.0.0 (3.41 KB) by 동혁 박
Feature selection and prediction of COVID-19 infections using LSTM
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Updated 31 Oct 2022

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  1. Feature selection using permutation importance by random forest
  2. Predicting the number of COVID-19 infections using LSTM
  3. Prediction the number of infections after 7 days

Cite As

동혁 박 (2026). predicting the number of COVID-19 infections with LSTM (https://www.mathworks.com/matlabcentral/fileexchange/119833-predicting-the-number-of-covid-19-infections-with-lstm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2022b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0