Data-driven computational intelligence applied to dengue outbreak forecasting: a case study at the scale of the city of Natal, RN-Brazil
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Researchers are exploring the use of data-driven computational intelligence and artificial intelligence to forecast dengue outbreaks. Studies are being conducted in various locations, including Brazil and Bangladesh, to evaluate the effectiveness of machine learning approaches and digital health technologies in predicting disease outbreaks. The use of artificial intelligence in public health surveillance is being investigated as a potential tool to revolutionize infectious disease forecasting.
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