2021
DOI: 10.48550/arxiv.2107.01760
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning

Abstract: The accurate forecasting of infectious epidemic diseases such as influenza is a crucial task undertaken by medical institutions. Although numerous flu forecasting methods and models based mainly on historical flu activity data and online user-generated contents have been proposed in previous studies, no flu forecasting model targeting multiple countries using two types of data exists at present. Our paper leverages multi-task learning to tackle the challenge of building one flu forecasting model targeting mult… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 45 publications
(67 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?