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Author

Joe Phiri

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2 papers indexed here

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Open access Sep 2026

A multi-facility data quality assessment of electronic health records for trustworthy AI in HIV public health in Zambia

Artificial intelligence (AI) holds promise for HIV disease surveillance and clinical decision support in sub-Saharan Africa, yet AI reliability and fairness depend fundamentally on data quality, a dimension rarely assessed before model development. This study presents a systematic, multi-facility data quality assessmen...

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

This review synthesises studies on ML-based prediction using EHR or routinely collected electronic clinical data, with direct LMIC evidence analysed alongside high-income country (HIC) studies, included as methodological benchmarks.

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

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