Search

Your selections:

Institution ZCAS University Subject SHAP Author Joe Phiri Start Over

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

Joe Phiri
2026·Doctor of Philosophy in Computing and Data Science·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
Download PDF ↓