Highlights
- This study proposes machine learning algorithms to estimate the risk of shock development among dengue patients.
- We discuss the performance of different machine learning algorithms and models.
- We discuss the feature importance to estimate the risk of shock development among dengue patients.
- Ensemble learnings of bagging and boosting are applied to the weak learner to optimize performance.
- The experimental results show that the bagging algorithm outperforms other competing methods.