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1. Optimizing Machine Learning Models for Disease Progression Prediction In TB/HIV Coinfection Using Resource-Limited EHR Data Systems in Zambia

Joe Phiri
2026·ZCAS University

The integration of artificial intelligence (AI) and machine learning (ML) into electronic health record (EHR) systems offers a transformative Fourth Industrial Revolution (4IR) opportunity for public health decision-making in resource-limited settings. The translation of algorithmic advances into...

Sub-Saharan AfricaZambiaEquityGovernanceMachine learningelectronic health recordspredictive analyticsHIV
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