Kalpana Mahatme
Biographic Data
| ID | 9064086 |
|---|---|
| NAME | Kalpana Mahatme |
| GIVEN NAMES | Kalpana |
| FAMILY NAME | Mahatme |
| SIGNATURE | MAHATME K |
| AFFILIATIONS | National Center for Disease Control |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Hybrid models combining trend and seasonality components with machine learning algorithms provide accurate forecasting of malaria incidence
Forecasting malaria incidence is vital for effective resource allocation during malaria elimination. In this study, we highlight robust models for forecasting incidence using climatic and malaria data from Goa, India. Multi-collinearity and Shapley Additive Explanations (SHAP) were used to identify most important predictors of malaria transmission among 15 climatic variables. Three machine-learning models (Support vector machines, Random Forest, …
No prominent works on this page.
Hybrid models combining trend and seasonality components with machine learning algorithms provide accurate forecasting of malaria incidence
Forecasting malaria incidence is vital for effective resource allocation during malaria elimination. In this study, we highlight robust models for forecasting incidence using climatic and malaria data from Goa, India. Multi-collinearity and Shapley Additive Explanations (SHAP) were used to identify most important predictors of malaria transmission among 15 climatic variables. Three machine-learning models (Support vector machines, Random Forest, …
Confidence interval (1 work) · Ensemble learning (1 work) · Extreme Learning Machine (1 work) · Forecasting Techniques and Applications (1 work) · Malaria (1 work) · Malaria Research and Control (1 work) · Stock Market Forecasting Methods (1 work) · Support vector machine (1 work) · Time series (1 work)