Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron

2019 ◽  
Vol 49 ◽  
pp. 54-61 ◽  
Author(s):  
E. Chianese ◽  
F. Camastra ◽  
A. Ciaramella ◽  
T.C. Landi ◽  
A. Staiano ◽  
...  
Author(s):  
Gholamreza Goudarzi ◽  
Nadali Alavi ◽  
Sahar Geravandi ◽  
Ahmad Reza Yari ◽  
Farzaneh Aslanpour Alamdari ◽  
...  

2008 ◽  
Vol 103 (481) ◽  
pp. 137-148 ◽  
Author(s):  
Catherine A Calder ◽  
Christopher H Holloman ◽  
Steven M Bortnick ◽  
Warren Strauss ◽  
Michele Morara

2020 ◽  
pp. 102490792096530
Author(s):  
Hakjung Kim ◽  
Woosung Yu

Background: Along with the industrialization, the air pollutants have gained more attention and studies especially about respiratory diseases were conducted. Emergency visit reflects acute aggravation of disease rather than chronic exacerbation. Objectives: The objective of this study was to evaluate the relationship between the ambient particulate matter and the emergency visits with respiratory disease in South Korea. Methods: Patients diagnosed with respiratory disease in the emergency department in 2018 were enrolled. The data of meteorological factors and air pollutants between 4 December 2017 and 31 December 2018 were acquired. Poisson regression was used with daily emergency visits as the response variable and single-day particulate matter concentration as the explanatory variable. Results: A total of 4207 patients were enrolled. In Poisson regression analysis of all respiratory diseases, the effects of [Formula: see text] and [Formula: see text] were strongest at day before 8 and 26. Age older than 65 group and chronic respiratory disease group had earlier lag effect than the all-diseases group. Cumulative effect was peaked at 14 lag day. The split point of prediction was 87 µg/m3 before 3 days for [Formula: see text] and 37 µg/m3 before 8 days for [Formula: see text]. Conclusion: The results can be used to predict the increase of emergency visits and need for medical resources when the ambient particulate matter concentration rises.


2018 ◽  
Vol 41 (2) ◽  
pp. 841-849 ◽  
Author(s):  
Gholamreza Goudarzi ◽  
Nadali Alavi ◽  
Sahar Geravandi ◽  
Ahmad Reza Yari ◽  
Farzaneh Aslanpour Alamdari ◽  
...  

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