Trend Prediction of Influenza and the Associated Pneumonia in Taiwan Using Machine Learning

Sing Ling Jhuo, Mi Tren Hsieh, Ting Chien Weng, Mei Juan Chen, Chieh Ming Yang, Chia Hung Yeh

研究成果: 書貢獻/報告類型會議論文篇章

6 引文 斯高帕斯(Scopus)

摘要

Trend prediction of influenza and the associated pneumonia can provide the information for taking preventive actions for public health. This paper uses meteorological and pollution parameters, and acute upper respiratory infection (AVRI) outpatient number as input to multilayer perceptron (MLP) to predict the patient number of influenza and the associated pneumonia in the following week. The meteorological parameters in use are temperature and relative humidity, air pollution parameters are Particulate Matter 2.5 (PM 2.5) and Carbon Monoxide (CO), and the patient prediction includes both outpatients and inpatients. Patients are classified by tertiles into three categories: high, moderate, and low volumes. In the nationwide data analysis, the proposed method using MLP machine learning can reach the accuracy of 81.16% for the elderly population and 77.54% for overall population in Taiwan. The regional data analyses with various age groups are also provided in this paper.

原文英語
主出版物標題Proceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728130385
DOIs
出版狀態已發佈 - 2019 十二月
對外發佈
事件2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019 - Taipei, 臺灣
持續時間: 2019 十二月 32019 十二月 6

出版系列

名字Proceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019

會議

會議2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
國家/地區臺灣
城市Taipei
期間2019/12/032019/12/06

ASJC Scopus subject areas

  • 人工智慧
  • 電腦視覺和模式識別
  • 訊號處理
  • 電腦網路與通信

指紋

深入研究「Trend Prediction of Influenza and the Associated Pneumonia in Taiwan Using Machine Learning」主題。共同形成了獨特的指紋。

引用此