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Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach.

PloS one 33725011
OBJECTIVE: Hemorrhagic fever with renal syndrome (HFRS), one of the main public health concerns in mainland China, is a group of clinically similar diseases caused by hantaviruses. Statistical approaches have always been leveraged to forecast the fut...
China Datasets as Topic Disease Outbreaks Epidemiological Monitoring Forecasting Hemorrhagic Fever with Renal Syndrome Humans Incidence Machine Learning Models, Statistical Neural Networks, Computer Orthohantavirus Seasons
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