Utilizing Machine Learning Techniques to Predict Adverse Reactions to COVID-19 Vaccines in Individuals with Allergies

To limit the spread of infectious diseases, ensuring vaccine safety and reliability is paramount. The introduction of new COVID-19 vaccines has been accompanied by a notable number of reported adverse reactions. Given the diversity of allergies among individuals, it is crucial to consider these factors before administering the vaccine. This study aims to enhance decision-making for alternative medical procedures in individuals allergic to COVID-19 vaccines by employing machine learning algorithms and evaluation techniques. Specifically, we utilize machine learning to categorize side effects of the COVID-19 vaccine in individuals with allergies related to food, animals, and weather.