Diagnostic medical classifiers

For the preliminary diagnosis of human diseases based on peripheral blood analysis, a statistical classification approach based on polynomial regression has been developed. It is implemented as two applications. One type of classifier allows you to assess the patient’s condition from healthy to the maximum degree of damage (oncology) within a separate body system. Using a different type of classifier, the area of tumor localization in cancer is identified. For various classification options, the structure of the training set is examined and a comparative analysis is carried out.