Abstract
Among the main methods of prostate cancer diagnosing, such as finger rectal examination, prostate-specific antigen test, ultrasound examination of prostate, none of them possesses enough specificity and sensitivity. In our research, we used special statistic and mathematic processing (multifactor analysis and binary logic regression) of main prostate cancer symptoms, which allows to suspect prostate cancer with 97% accuracy and also to reduce the frequency of unnecessary biopsies of prostate.
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