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Jun, 2024
新加坡登革热预测的机器学习模型
Machine Learning Models for Dengue Forecasting in Singapore
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Zi Iun Lai, Wai Kit Fung, Enquan Chew
TL;DR
通过使用传统的状态空间模型、监督学习技术和深度网络，结合气象数据和搜索引擎趋势作为特征，本研究对新加坡每周登革热病例进行了预测，发现使用卷积神经网络能够以最低的RMSE预测2019年的每周病例。
Abstract
With emerging prevalence beyond traditionally endemic regions, the global burden of
dengue disease
is forecasted to be one of the fastest growing. With limited direct treatment or vaccination currently available, prevention through
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