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.
Strengthening the evidence base on the use of digital health technologies to accelerate progress towards universal health coverage.Oxford Open Digit Health, 2:oqae033
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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.