Prediction of Outpatient Visits for Upper Respiratory Tract Infections by Machine Learning of PM2.5 and PM10 Levels in Taiwan

Pei Hsuan Yang, Mi Tren Hsieh, Gen Min Lin, Mei Juan Chen, Chia Hung Yeh, Zhi Xiang Huang, Chieh Ming Yang

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

Particulate Matter (PM) 2.5 and PM10 are referred as a mixture of liquid droplets and solid particles in the air with diameters leq 2.5 mum and leq 10 mum, respectively. Both PM2.5 and PM10 can deposit on respiratory tract and trigger inflammatory reactions, which makes the respiratory tract predisposed to infections. The study used machine learning on daily PM2.5 and PM10 levels of consecutive 30 days from the open website datasets of Environment Protection Administration between Dec. 2008 and Dec. 2016 to predict the subsequent one-week outpatient visits for upper respiratory tract infections (URI) from the Centers for Disease Control (CDC) in Taiwan between Jan. 2009 and Dec. 2016. The weekly URI cases were classified by tertile as high, moderate, and low volumes. In general, both URI burden and PM levels peak in winter and spring seasons. The testing used the mid-month dataset of each season (Jan., Apr., Jul., and Oct.), and the training used the other months datasets. In the nationwide data analysis, PM2.5 and PM10 levels input to the multilayer perceptron (MLP) can precisely predict the degree of URI number for the elderly (89.05% and 88.32%, respectively) and the overall population (81.75% and 83.21%, respectively). In conclusion, machine learning of PM2.5 and PM10 levels could accurately predict the burden of outpatient visits for URI in Taiwan.

原文英語
主出版物標題2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(列印)9781538663011
DOIs
出版狀態已發佈 - 2018 八月 27
事件5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 - Taichung, 臺灣
持續時間: 2018 五月 192018 五月 21

出版系列

名字2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018

會議

會議5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
國家/地區臺灣
城市Taichung
期間2018/05/192018/05/21

ASJC Scopus subject areas

  • 生物醫學工程
  • 電氣與電子工程
  • 儀器

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