Using artificial neural network to predict a variety of pathogenic microorganisms

Yu Hsuan Liao, Yu Ning Yu, Maysam F. Abbod, Chung Hung Shih, Jiann Shing Shieh

研究成果: 雜誌貢獻文章同行評審

1 引文 斯高帕斯(Scopus)

摘要

In this study, an electronic nose is used to record breathing data from healthy and pneumonia patients. The electronic nose records resistance data using a microarray of 11 sensors made of a metal oxide semiconductor. The recorded data are fed to an artificial neural network (ANN), which is used to train a model for the detection of infections. Initially, five patients’ data are used to construct the ANN model. Then, another two patients’ data are used to test the accuracy of the model. In this preliminary study, the ANN achieved good results, showing that it can be further developed into an efficient online pneumonia detection system in the near future.

原文英語
頁(從 - 到)2375-2385
頁數11
期刊Sensors and Materials
32
發行號7
DOIs
出版狀態已發佈 - 七月 20 2020

ASJC Scopus subject areas

  • 材料科學(全部)
  • 儀器

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