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Review Open access Aug 2026

A systematic review of artificial intelligence and machine learning for public health predictions using electronic health records in low and middle income countries with comparative benchmarks from high income settings

The growing availability of electronic health records (EHRs) has accelerated the use of artificial intelligence (AI) and machine learning (ML) in public health. Yet, how well these methods work in low- and middle-income countries (LMICs), remains poorly understood. This review synthesises studies on ML-based prediction...

Joe Phiri, Aaron Zimba, C. Njovu et al. · 0 citations

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