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1. 1. Prediction of the number of weekly covid-19 infections : A comparison of machine learning methods

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Nicklas Branding; [2022]
   Keywords : Machine learning; deep learning; covid-19; public health science; number of infection; regression; long short term memory; gated recurrent unit; support vector regressor; long short term memory-convolutional neural network; bidirectional-long short term memory;

   Abstract : The thesis two-folded problem aim was to identify and evaluate candidate Machine Learning (ML) methods and performance methods, for predicting the weekly number of covid-19 infections. The two-folded problem aim was created from studying public health studies where several challenges were identified. READ MORE