Statistical evaluation of semi-structured binary sequences of quality indicators in dental diagnostics

The article deals with the problem of statistical processing of poorly structured information about qualitative classification signs on the example of diagnostics in dentistry for specific age categories of patients. A multi-stage technique for processing digitized data, which is a binary weakly structured sequence, developed by the authors, is presented. The problem of estimating the statistical relationship of two binary weakly structured sequences is considered in a general form. A theoretical and practical comparison of the Pearson and Tanimoto coefficients for such sequences is carried out. Criteria estimates are found for practical data obtained at the departments of orthopedic dentistry at Sechenov University, FSBEI HE SOGMA of the Ministry of Health of Russia. A block diagram of an algorithm for expert evaluation of the results of dental diagnostics of patients based on the concordance coefficient is presented.