A retrospective cohort study on predicting infants at a risk of defaulting routine immunization in Uganda using machine learning models

Abstract

Immunization card, preceding vaccines reception, and district were the most influential predictors. RF was the best classifier among the 9 models to predict defaulting RI. The study recommends regular outreaches, daily vaccination, provision of immunization cards, and accessible water sources to reduce defaulting.