Name
Title | ||
|---|---|---|
Application of machine learning models to predict malaria using malaria cases and environmental risk factors |
Abstract | ||
|---|---|---|
Malaria remains a significant cause of deaths and illness especially in sub-Saharan Africa (SSA). The efforts to eliminate malaria include the use of intermittent preventive prophylaxis (ITPp), indoor residual spraying (IRS), long-lasting insecticide-treated nets (LLINs), malaria prevention strategies and behavioural change education. Among these initiatives, predicting malaria cases at the ward l... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/ICTAS53252.2022.9744657 | 2022 Conference on Information Communications Technology and Society (ICTAS) |
Keywords | DocType | ISBN |
Support vector machines,Education,Spraying,Predictive models,Alarm systems,Communications technology,Regression tree analysis | Conference | 978-1-6654-4019-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elliot Mbunge | 1 | 0 | 0.34 |
| Richard C Millham | 2 | 0 | 0.34 |
| Maureen Nokuthula Sibiya | 3 | 0 | 0.34 |
| Sam Takavarasha | 4 | 0 | 0.34 |