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dc.contributor.author Kozan, N. en
dc.contributor.author Cherkasov, V. en
dc.contributor.author Shkolnicov, V. en
dc.contributor.author Makarchuk, I. en
dc.contributor.author Marchuk, I. en
dc.contributor.author Козань, Н. М. uk
dc.contributor.author Черкасов, В. Г. uk
dc.contributor.author Школьніков, В. С. uk
dc.contributor.author Макарчук, І. М. uk
dc.contributor.author Марчук, І. А. uk
dc.date.accessioned 2019-10-23T20:36:21Z
dc.date.available 2019-10-23T20:36:21Z
dc.date.issued 2019
dc.identifier.citation Diagnosis of general phenotypic characteristics of a person in the context of ICPO-INTERPOL requirements / N. Kozan, V. Cherkasov, V. Shkolnikov [et al.] // World of Medicine and Biology = Світ Медицини та Біології. - 2019. - № 2 (68). - P. 65-69. en
dc.identifier.issn 2079-8334
dc.identifier.uri https://dspace.vnmu.edu.ua/123456789/4167
dc.description.abstract Topicality of this study is due to the need to find new ways to solve the problem of identifying a person in terms of an integrated approach DVI - Interpol system, and consist in to determine the patterns of manifestation of inter-system relationships and the development of criteria for predictive assessment of phenotypic human features based on phenotypology of the finger, palmar dermatoglyphics and foot dermatoglyphics. Received anthroposcopic and anthropometric parameters, imprints of the ridge patterns of the fingers and feet, the inner surface of the hands and feet, and the smears of peripheral blood from 567 men and women of 18-59 years of age living in the Ivano-Frankivsk region and belonging to the Hutsuls (1 group), Boykos (group 2) and Lemkos (group 3) ethno-territorial groups or do not identify themselves with any (group 4). The following research methods were applied: anthroposcopic, anthropometric, dermatological, one-dimensional and multidimensional statistical analysis, neural network programming (in the package Statistica 12). Reliable differences between phenotypic parameters of male and female persons of Boykos, Lemkos, Hutsuls and control groups were established; on the basis of obtained data using artificial neural networks, a computer identification program Dermatoglyphics For Prediction (DFP) was developed that will increase the effectiveness of the second and fourth stages of the Disaster Victim Identification methodological approach. en
dc.language.iso en en
dc.subject forensic medicine en
dc.subject person identification en
dc.subject dermatoglyphics en
dc.subject phenotype en
dc.subject судова медицина uk
dc.subject ідентифікація особи uk
dc.subject дерматогліфіка uk
dc.subject фенотип uk
dc.title Diagnosis of general phenotypic characteristics of a person in the context of ICPO-INTERPOL requirements en
dc.title.alternative Діагностика загальних фенотипічних ознак людини в розрізі вимог ICPO-INTERPOL uk
dc.type Article en


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Показати скорочений опис матеріалу