Machine Learning to Study the Impact of Vaccination on the Spread of Viral Infections

Student: Imalina Irina

Educational Programme: Machine Learning and Data-Intensive Systems (Master)

Final Grade: 8

Year of Graduation: 2024

In the presented work, a study was conducted to identify the most effective models for predicting morbidity based on open data from the World Bank and the World Health Organization. Methods and features of working with time series are discussed in the paper. Data processing techniques to increase the efficiency of model training when working with time series are demonstrated. Methods of forecasting the dynamics of morbidity in different countries are proposed and substantiated.

Full text (added June 3, 2024)

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