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.
Challenges and solutions for transforming health ecosystems in low- and middle-income countries through artificial intelligence.Front Med, 9:958097
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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.