[Automated classification system (ACS) for detection of high risk groups exposed to radiation].
The paper presents the results of using an experimental version of the automatic classifying system (ACS) based on unstatistical methods of recognizing the images with estimate calculation algorithms. According to 21 blood parameters obtained on an automatic analyser, ACS could divide, at higher than 90% significance, groups of persons living in the polluted areas of the towns of Klintsy and Zlynka who have accumulated mean radiation dose of 15 and 63 mZv, respectively. The results suggest that ACS may be used to divide subjects into risk groups in terms of exposures to unfavorable environmental factors.
Stavitskiĭ
R V
RV
Guslistyĭ
V P
VP
Zubrikhina
G P
GP
D000465:Algorithms; D001331:Automation / Q000379:methods*; D001769:Blood / Q000528:radiation effects*; D016022:Case-Control Studies; D004781:Environmental Exposure; D006801:Humans; D011829:Radiation Dosage; D011847:Radioactive Fallout / Q000009:adverse effects*; D018788:Radioactive Hazard Release; D018570:Risk Assessment
D011847:Radioactive Fallout
Avtomatizirovannaia klassifitsiruiushchaia sistema (AKS) dlia vydeleniia radiatsionnykh grupp riska.