A recent BMJ Open study applied seven machine learning models to Tanzanian survey data, revealing that the random forest classifier achieved 95% accuracy in predicting zero-dose children. The research illustrates how statistical tools can identify key factors, like maternal unemployment and low education, to drive public health interventions.