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Predicting diarrhoea outbreak with climate change
Climate change is expected to exacerbate diarrhoea outbreak in South Africa, a leading cause of morbidity and mortality in the region. In this study, we modelled the impacts of climate change on diarrhoea with machine learning methods. We applied two deep learning techniques, convolutional neural ne...
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| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2021
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