한국정보통신학회논문지 (Journal of the Korea Institute of Information and Communication Engineering)

  • 제24권10호
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  • Pages.1394-1397
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  • 2020
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  • 2234-4772(pISSN)
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  • 2288-4165(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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뇨 스트립 분류에서 육안비색법과 신경회로망 알고리즘 비교

Comparison of visual colorimetric Analysis and neural network algorithm in urine strip classification

  • Eum, Sang-hee (Department of Early Childhood of Education, Dongju College)
  • 투고 : 2020.09.20
  • 심사 : 2020.10.05
  • 발행 : 2020.10.31
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초록

The urine test used as a basic test method of in vitro diagnosis for health care has been used for a long time to be simple and convenient. The urine test method is using a color that appears depending on the change in the ion concentration that reacts over time buried in the standard color test paper(Strips) with a urine sample applied to some reaction reagents. In this paper, it was proposed a neural network algorithm to obtain a suitable and reproducibility and accuracy classifier suitable for the urine analysis system. The experimental results were compared with the visual colorimetric analysis, and the neural network algorithm showed better results.

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참고문헌

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