Forecasting incidence of infectious diarrhea using random forest in Jiangsu Province, China

Forecasting incidence of infectious diarrhea using random forest in Jiangsu Province, China

Abstract Background Infectious diarrhea can lead to a considerable global disease burden. Thus, the accurate prediction of an infectious diarrhea epidemic is crucial for public health authorities. This study was aimed at developing an optimal random forest (RF) model, considering meteorological fact...

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Bibliographic Details
Main Authors: Xinyu Fang, Wendong Liu, Jing Ai, Mike He, Ying Wu, Yingying Shi, Wenqi Shen, Changjun Bao
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Infectious Diseases
Subjects:
Infectious diarrhea
Forecasting
Random forest
Online Access:http://link.springer.com/article/10.1186/s12879-020-4930-2

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http://link.springer.com/article/10.1186/s12879-020-4930-2

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