A New Deep Learning Algorithm for Detecting the Lag Effect of Fine Particles on Hospital Emergency Visits for Respiratory Diseases

A New Deep Learning Algorithm for Detecting the Lag Effect of Fine Particles on Hospital Emergency Visits for Respiratory Diseases

There exists a time lag between short-term exposure to fine particulate matter (PM2.5) and incidence of respiratory diseases. The quantification of length of the time lag is significant for preparation and allocation of relevant medical resources. Several classic lag analysis methods have been appli...

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Bibliographic Details
Main Authors: Jiaying Lu, Pengju Bu, Xiaolin Xia, Ling Yao, Zhixin Zhang, Yuanju Tan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fine particles (PM₂.₅)
respiratory diseases prediction
lag distribution effect
distributed lag non-linear model (DLNM)
long short-term memory (LSTM)
Online Access:https://ieeexplore.ieee.org/document/9153761/

Internet

https://ieeexplore.ieee.org/document/9153761/

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