Covid-19 severity classification using supervised learning approach

• Main Authors: Mohamand Noor, Nurul Fathia, Sipail, Herold Sylvestro, Ahmad, Norulhusna, Mohd. Noor, Norliza
• Format: Conference or Workshop Item
• Published: 2021
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/96615/; http://dx.doi.org/10.1109/NBEC53282.2021.9618747
• Institution: Universiti Teknologi Malaysia

This paper presented work on supervised machine learning techniques using K-NN, Linear SVM, Naïve Bayes, Decision Tree (J48), Ada Boost, Bagging and Stacking for the purpose to classify the severity group of covid-19 symptoms. The data was obtained from Kaggle dataset, which was obtained through a s...