DATA MINING OF UNCERTAINTY DATA IN THE BLOOD CHEMICAL ANALYSIS FOR QC |
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| Yasuo Iwaki, Tadao Inamura, Komyo Kariya |
- Abstract:
- This study is mining the error factors in the uncertainty measurement data. The purpose is to be advanced the accuracy control for QC (Quality control) of BCA (Blood Chemical Analysis). BCA is often taken as uncertainty data. On the QC of calibration curve, it is important to securing an intermediate accuracy in the measuring system of ISO-GUM (International Organization for Standardization-Guide to the express of Uncertainty Measurement). In the technology of ISO-GUM, the analysis method of traceability, transferability and compatibility are applied. Already we have reported the uncertainty problems as series of three times in the IMEKO world congress.
1) 1997.in Finland. The reference value was chosen by transferability of ISO-GUM.
2) 1999.in Japan. The error factor was taken in time series data by traceability of ISO-GUM.
3) 2000.in Austria. The Michaels-Menten test should be practiced by using the compatibility of ISO-GUM.
These reports were studied by using only one of test reagent of Elastase-1, which is a kind of human pancreas hormone. The study has been continuing by using other 4 kinds similar sample. Then the purpose of this study is an experiment to get more high reliability. In this thesis, a new result on uncertainty problem is reported. - Keywords:
- ISO-GUM, Uncertainty data, Blood chemical analysis
- Download:
- PWC-2003-TC8-016.pdf
- DOI:
- -
- Event details
- Event name:
- XVII IMEKO World Congress
- Title:
Metrology in the 3rd Millennium
- Place:
- Dubrovnik, CROATIA
- Time:
- 22 June 2003 - 28 June 2003