CLASSIFICATION OF MULTIDIMENSIONAL POLARIZATION MICROSCOPY RESULTS IN THE TECHNOLOGY OF FORENSIC INTELLECTUAL MONITORING OF HEART DISEASES
Oleg Vanchulyak
sudmed@bsmu.edu.uaBukovina State Medical University, Department of Forensic Medicine and Medical Law, Chernivtsi (Ukraine)
http://orcid.org/0000-0003-0243-1894
Serhii Golub
herkasy State Technological University, Department of Automated Systems Software (Ukraine)
http://orcid.org/0000-0002-5067-6848
Mariia Talakh
Yuriy Fedkovych Chernivtsi National University, Department of Computer Science (Ukraine)
http://orcid.org/0000-0002-5523-6120
Vyacheslav Gantyuk
Yuriy Fedkovych Chernivtsi National University, Department of Computer Science (Ukraine)
http://orcid.org/0000-0003-0792-5113
Abstract
The work combines methods of multidimensional polarization microscopy, statistical processing of data and inductive modeling with the purpose of constructing a methodology for creation of intelligent systems for multi-level forensic medical monitoring based on the example of the post-mortem diagnosis of coronary heart disease and acute coronary insufficiency. The task of classifying the results of the study of biological materials for obtaining a diagnosis was solved. To obtain informative features, a model of biological tissue of the myocardium was developed and the main diagnostic parameters were determined (statistical moments of 1–4 orders of coordinate distributions of the values of azimuths and the ellipticity of polarization and their autocorrelation functions, as well as wavelet coefficients of the corresponding distributions), which are dynamic due to its necrotic changes. The classification of these data was provided by constructing a deciding rule in the multi – raw algorithm of the GMDH. The effectiveness of the described methodology has been experimentally proved.
Keywords:
forensic medical monitoring, polarization microscopy, informative signs, classificationReferences
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Authors
Oleg Vanchulyaksudmed@bsmu.edu.ua
Bukovina State Medical University, Department of Forensic Medicine and Medical Law, Chernivtsi Ukraine
http://orcid.org/0000-0003-0243-1894
Authors
Serhii Golubherkasy State Technological University, Department of Automated Systems Software Ukraine
http://orcid.org/0000-0002-5067-6848
Authors
Mariia TalakhYuriy Fedkovych Chernivtsi National University, Department of Computer Science Ukraine
http://orcid.org/0000-0002-5523-6120
Authors
Vyacheslav GantyukYuriy Fedkovych Chernivtsi National University, Department of Computer Science Ukraine
http://orcid.org/0000-0003-0792-5113
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