Statistical approach for diagnosing oncological diseases by blood parameters
Abstract:
A mathematical method is proposed for the preliminary diagnosis of human oncological diseases of various localization by blood parameters. The authors have developed a statistical classifier based on a polynomial-regression approach and having probabilistic estimates. Training was carried out on databases of analysis of peripheral blood of cancer patients in various body systems.
Keywords:
cancer, body system, peripheral blood, classification, polynomial regression, training set
Publication language:russian, pages:12
Research direction:
Mathematical modelling in actual problems of science and technics
