A comparative analysis of bayesian network and ARIMA approaches to malaria outbreak prediction

A comparative analysis of bayesian network and ARIMA approaches to malaria outbreak prediction

© Springer International Publishing AG 2018. Disease outbreaks are important to predict since they indicate hot spots of transmission with high risk of spread to neighboring regions and can thus guide the allocation of resources. While numeric prediction models can be easily used for outbreak predic...

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書目詳細資料
Main Authors:	A. H.M.Imrul Hasan, Peter Haddawy, Saranath Lawpoolsri
其他作者:	Mahidol University
格式:	Conference or Workshop Item
出版:	2019
主題:	Computer Science Engineering
在線閱讀:	https://repository.li.mahidol.ac.th/handle/123456789/45672
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Mahidol University

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