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Zolotenkova G.V.

Kafedra sudebnoĭ meditsiny Pervogo MGMU im. I.M. Sechenova

Gridina N.V.

Department of Forensic Medicine of the Sechenov First Moscow State Medical University under Ministry of Health of the Russia, Moscow, Russia, 119991;
Center of Information Technologies in Design of the Russian Academy of Sciences, Odintsovo, Moscow Region, Russia, 143003

Solodovnikov V.I.

Center of Information Technologies in Design of the Russian Academy of Sciences, Odintsovo, Moscow Region, Russia, 143003

Trufanov M.I.

Center of Information Technologies and Project Engineering, Russian Academy of Sciences, Odintsovo, Moscow Region, Russia, 143000

Pigolkin Yu.I.

Sechenov’s First Moscow State Medical University, Moscow, Russia

Calculation of an individual’s biological age with the use of the latest information technologies and construction of a promising intellectual hardware and software complex

Authors:

Zolotenkova G.V., Gridina N.V., Solodovnikov V.I., Trufanov M.I., Pigolkin Yu.I.

More about the authors

Journal: Forensic Medical Expertise. 2019;62(3): 42‑47

DOI: 10.17116/sudmed20196203142

Read: 920 times

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Table of contents

CALCULATION OF AN INDIVIDUAL’S BIOLOGICAL AGE WITH THE USE OF THE LATEST INFORMATION TECHNOLOGIES AND CONSTRUCTION OF A PROMISING INTELLECTUAL HARDWARE AND SOFTWARE COMPLEX
CALCULATION OF AN INDIVIDUAL’S BIOLOGICAL AGE WITH THE USE OF THE LATEST INFORMATION TECHNOLOGIES AND CONSTRUCTION OF A PROMISING INTELLECTUAL HARDWARE AND SOFTWARE COMPLEX

To cite this article:

Zolotenkova GV, Gridina NV, Solodovnikov VI, Trufanov MI, Pigolkin YuI. Calculation of an individual’s biological age with the use of the latest information technologies and construction of a promising intellectual hardware and software complex. Forensic Medical Expertise. 2019;62(3):42‑47. (In Russ.)
https://doi.org/10.17116/sudmed20196203142

Подписка 2026 Судебно-медицинская экспертиза (Forensic Medical Expertise)
 
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

This paper demonstrates the need for an integrated approach to improve the accuracy of corpse age calculation based on measurements of a heterogeneous nature and conditions of partially distorted or incomplete data, using modern information intelligent technologies. A generalized algorithm developed on the basis of various mathematical methods of primary data processing and the extraction of different structures is presented, in addition to the reliability of the information.

Keywords:

identification of personality
age of an individual
information intellectual technologies
primary data processing

Authors:

Zolotenkova G.V.

Kafedra sudebnoĭ meditsiny Pervogo MGMU im. I.M. Sechenova

Gridina N.V.

Department of Forensic Medicine of the Sechenov First Moscow State Medical University under Ministry of Health of the Russia, Moscow, Russia, 119991;
Center of Information Technologies in Design of the Russian Academy of Sciences, Odintsovo, Moscow Region, Russia, 143003

Solodovnikov V.I.

Center of Information Technologies in Design of the Russian Academy of Sciences, Odintsovo, Moscow Region, Russia, 143003

Trufanov M.I.

Center of Information Technologies and Project Engineering, Russian Academy of Sciences, Odintsovo, Moscow Region, Russia, 143000

Pigolkin Yu.I.

Sechenov’s First Moscow State Medical University, Moscow, Russia

Close metadata

References:

  1. Sudebnajamedicina i sudebno-medicinskajaj ekspertiza: Nacional’noe rukovodstvo. Pod red. Pigolkina YuI. M.: GEHOTAR-MEDIA, 2014. (In Russ.)
  2. Pigolkin YuI. Modern methods of forensic identification. Rossiyskie meditsinskie vesti. 2004;9;3:73-75. (In Russ.)
  3. Identifikatsiya lichnosti pri chrezvychajnykh proisshestviyakh s massovymi chelovecheskimi zhertvami. Pod red. Pigolkina YuI. M. 2008. (In Russ.)
  4. Pigolkin YuI, Nikolenko VN, Zolotenkova GV, Dallakyan VF. Morphological methods in establishment of common and specific signs in forensic identification of personality (review). Saratovskii nauchno-meditsinskiy zhurnal. 2012;8:4:900-905. (In Russ.)
  5. Glybochko PV, Pigolkin YuI, Nikolenko VN, Zolotenkova GV, Efimov AA, Alekseev YuD, Fedulova MV, Savenkova EN, Kurzin LM, Goncharova NN,Yurchenko MA, Miroshnichenko NV. Sudebno-meditsinskaya diagnostika vozrasta. M.: Pervyj MGMU im. I.M. Sechenova. 2016. (In Russ.)
  6. Pigolkin YuI, Zolotenkova GV, Sereda AP, Zolotenkov DD, Gridina NV. Histometric symptoms of age-sensitive changes of bone tissue. Uspekhi gerontologii. 2018;31:2:203-210. (In Russ.)
  7. Pigolkin YuI, Poletaeva MP, Zolotenkova GV, Volkov AV. The age-specific changes in the histological structure of the thyroid cartilage in the men. Sudebno-meditsnskaya ekspertiza 2017;60:5:11-14. (In Russ.) https://doi.org/10.17116/sudmed201760511-14
  8. Pigolkin YuI, Poletaeva MP, Zolotenkova GV. Age determine by the age of the thyroid cartilage by the radiological method in forensic medicine. Rossijskij ehlektronnyj zhurnal luchevoy diagnostiki. 2017;7:4:23-29 (In Russ.) https://doi.org/10.21569/2222-7415-2017-7-4-23-29
  9. Yurchenko MA, Zolotenkova GV, Pigolkin YuI, Fedulov MV. Bone mineral density as a sign of agerelated involution of human bones. Morfologiya. 2013;144:4:80-85. (In Russ.)
  10. Kovalev AV, Ametrin MD, Zolotenkova GV, Gerasimov AN, Gornostaev DV, Poletaeva MP. Forensic medical determination of the age based on the analysis of CT-scanograms of the skull and the craniovertebral region in the sagittal projection. Sudebno-meditsinskaya ehkspertiza. 2018;61:1:21-27. (In Russ.) doi 10.17116/sudmed201861121-27
  11. Pigolkin YuI, Tkachenko SB, Zolotenkova GV, Velenko PS, Zolotenkov DD, Safroneeva YuL. The comprehensive evaluation of the age-specific changes in the skin. Sudebno-meditsinskaya ekspertiza. 2018;61:3:15-18. (In Russ.) doi 10.17116/sudmed201861315-18
  12. Pigolkin YuI, Zolotenkova GV. Age-specific changes in the cerebral cortex capillaries. Sudebno-meditsinskaia ekspertiza. 2014;57:1:4-10. (In Russ.)
  13. Gridin VN, Solodovnikov VI, Evdokimov IA, Filippkov SV. Decision trees construction and rules extraction from trained neural networks. Iskusstvennyy intellekt i prinyatie resheniy. 2013;4:26-33. (In Russ.)
  14. Gridin VN, Solodovnikov VI. Features of internal representation and visualization of data extracted from the data using the modular neural network bp-som. Novye informacionnye tekhnologii v avtomatizirovannykh sistemakh. 2017;20:170-175. (In Russ.)
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