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Franchuk V.V.

The Course of Forensic Medicine, I.Ya. Gorbachevskiy Ternopol State Medical University, Ternopol, Ukraine, 46001

Mikhaylichenko B.V.

Bogomolets National Medical University of the Ministry of Healthcare of Ukraine, Kiev, Ukraine, 01601

Franchuk M.V.

Gorbachevsky Ternopol National Medical University, Ternopol, Ukraine, 46000

Application of the decision tree method in forensic-medical practice in the analysis of 'doctors proceedings'

Authors:

Franchuk V.V., Mikhaylichenko B.V., Franchuk M.V.

More about the authors

Journal: Forensic Medical Expertise. 2020;63(1): 9‑14

DOI: 10.17116/sudmed2020630119

Views: 1992

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Table of contents

APPLICATION OF THE DECISION TREE METHOD IN FORENSIC-MEDICAL PRACTICE IN THE ANALYSIS OF 'DOCTORS PROCEEDINGS'
APPLICATION OF THE DECISION TREE METHOD IN FORENSIC-MEDICAL PRACTICE IN THE ANALYSIS OF 'DOCTORS PROCEEDINGS'

To cite this article:

Franchuk VV, Mikhaylichenko BV, Franchuk MV. Application of the decision tree method in forensic-medical practice in the analysis of 'doctors proceedings'. Forensic Medical Expertise. 2020;63(1):9‑14. (In Russ.)
https://doi.org/10.17116/sudmed2020630119

Подписка 2025-2 (Forensic Medical Expertise)
 
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The possibilities of Data Mining artificial intelligence technology, in particular the decision tree induction method, are presented to answer special questions during the forensic examination of criminal proceedings instituted against doctors in cases of inadequate medical care. Based on the results, justified by an automated mathematical program for intelligent database processing, specific forensic expert features of therapeutic and tactical defects in the provision of medical care are established.

Keywords:

forensic medical examination
inadequate medical care
«doctors proceedings»
decision tree

Authors:

Franchuk V.V.

The Course of Forensic Medicine, I.Ya. Gorbachevskiy Ternopol State Medical University, Ternopol, Ukraine, 46001

Mikhaylichenko B.V.

Bogomolets National Medical University of the Ministry of Healthcare of Ukraine, Kiev, Ukraine, 01601

Franchuk M.V.

Gorbachevsky Ternopol National Medical University, Ternopol, Ukraine, 46000

List of references:

  1. Nechiporuk DV. Data Mining technology features. Molodoy issledovatel’ Dona. 2017;1(4):62-65. (In Russ.)
  2. Tashkinov AA, Wildemann AV, Bronnikov VA. Application of the method of classification trees to predict the level of motility development of patients with disturbances of motor functions. Rossiyskiy zhurnal biomekhaniki. 2008;12.4(42):84-95. (In Russ.)
  3. Savchenko LM. Datamining and its applications. Aktual’nyye problemy aviatsii i kosmonavtiki. Sektsiya Informatsionno-ekonomicheskiye sistemy. 2015;1:611-613.(In Russ.)
  4. Martsenyuk V. On an indirect method of exponential estimation for a neural network model with discretely distributed delays. Electronic Journal of Qualitative The ory of Differential Equations. 2017;23:1-16. https://doi.org/10.14232/ejqtde.2017.1.23
  5. Martsenyuk VP, Andrushchak IY, Gvozdetska IS. Qualitative analysis of the antineoplastic immunity system on the basis of a decision tree. Cybernetics and Systems Analysis. 2015;51(3).A013:461-470. https://doi.org/10.1007/s10559-015-9737-6
  6. Hunt EB, Hovland CI. Programming a Model of Human Concept Formation. Computers and Thought. Feigenbaum E.A., Feldman J. (Eds.) McGraw Hill. New York. 1963;310-325.
  7. Martsenyuk VP, Franchuk VV, Sverstyuk AS, Franchuk OV. Data mining technology using for determination of forensic medical peculiarities of inappropriate medical care. Medychna informatyka ta inzheneriya. 2018;3(43):28-35. (In Ukr.). https://doi.org/10.11603/mie.1996-1960.2018.3.9463
  8. Franchuk VV. The forensic medical aspects of the inappropriate medical care in the modern-day Ukraine. Sudebno-meditsinskaia ekspertiza. 2018;2(61):48-52. (Іn Russ.). https://doi.org/10.17116/sudmed201861248-52
  9. Kovalev AV, Shmarov LA, Tenkov AA. The reliable and plausible conclusions in the decisions of the forensic medical experts. Sudebno-meditsinskaia ekspertiza. 2016;1:60-64. (In Russ.) https://doi.org/10.17116/sudmed201659160-64.

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