Skip to content

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Comparative Analysis of XGBoost and Prophet Models for Monthly Dengue Cases Forecasting in Mayangone Township, Yangon, Myanmar: Projections for 2026

A comparative analysis of XGBoost (gradient boosting machine learning) and Prophet (additive time series model) for predicting monthly dengue cases in Mayangone Township suggests Prophet is more accurate for forecasting, while XGBoost offers better interpretability of climatic drivers.

Z. L. Oo, T. W. Laı · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.