engleski

On the Application of Artificial Intelligence in the Problem of COVID-19 Spread Prediction

Both the used methods generated high quality models, with R2 values higher than 0.98 for all the outputs. It can be concluded that AI methods can be used to achieve a good model of epidemiological curves and their components. Additionally, some differences between the algorithms can be noted. For example, while MLP is, on average, faster to train in comparison to the GP – allowing for a faster model generation ; models obtained by the MLP are not language-agnostic making them harder to implement. Models generated by GP are given in form of equations which are then easily transformed into an appropriate form to be utilized in various forms of software packages or programming languages allowing for a faster implementation of those models into new or existing tools.

COVID-19 ; Artificial Intelligence ; Machine Learning ; Data Science ; Regression Modeling

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