Prediction of HIV incidence in Xinjiang Uygur autonomous region, China: a time series study
Although random forest had the lowest numerical errors, it was statistically indistinguishable from the other models; therefore, model selection should consider interpretability, data-updating frequency, and resource constraints rather than marginal accuracy differences, which support HIV surveillance and resource allo...