Predicting HIV testing status in pregnant women using balanced machine learning models: Insights from Sierra Leone's demographic health survey
Researchers show #SMOTE-enhanced #MLModels improve prediction of #HIV testing gaps in #PregnantWomen in Sierra Leone, with #RandomForest achieving best performance, supporting targeted strategies to prevent vertical transmission.
#IDSky #EpiSky
#OpenAccess: doi.org/10.1016/j.dc...