Machine learning models trained on synthetic data predict childhood vaccination risks in Narok, Kenya with recall, precision, and F1-scores exceeding 90% for some vaccines, matching real-data performance while preserving privacy.
Associating measles vaccine uptake classification and its underlying factors using an ensemble of machine learning models.IEEE Access, 9:119613–119628
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Using Synthetic Data for Machine Learning-based Childhood Vaccination Prediction in Narok, Kenya
Machine learning models trained on synthetic data predict childhood vaccination risks in Narok, Kenya with recall, precision, and F1-scores exceeding 90% for some vaccines, matching real-data performance while preserving privacy.