| Autor: |
Stavitskii, R., Guslistyi, V., Zubrikhina, G. |
| Zdroj: |
Biomedical Engineering; November 1994, Vol. 28 Issue: 6 p307-310, 4p |
| Abstrakt: |
Conclusions: 1. An automated sorting system (ASS) has been developed on the basis of nonstatistical methods of pattern recognition and algorithms of estimate computation. 2. The developed ASS allows three clusters (normal, Zlynka, and Klintsy populations) to be distinguished with high confidence limits (from 87 to 94%) by blood count data. The environmental conditions of the three groups of people are similar except for radiation background (15 mSv in Klintsy and 63 mSv in Zlynka). 3. The results of the present work show that ASS can be used to distinguish risk groups in people exposed to radiation and other ecologically unfavorable environments. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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