The site of the Media Sphera Publishers contains materials intended solely for healthcare professionals.
By closing this message, you confirm that you are a certified medical professional or a student of a medical educational institution.

Login
EN
+7 (495) 482-4118
+7 (495) 482-0604

  • © 1998-2025
+7 (495) 482-43-29
EN
All journals
Journal
Year
Year
Search result: 0

Pigolkin Yu.I.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Solodovnikov V.I.

Design Information Technologies Center

Zolotenkov D.D.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Salem B.R.

Design Information Technologies Center

Poletaeva M.P.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Zolotenkova G.V.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Experience of Data Analysis application for proceeding research data in solving the problem of target age group establishment

Authors:

Pigolkin Yu.I., Solodovnikov V.I., Zolotenkov D.D., Salem B.R., Poletaeva M.P., Zolotenkova G.V.

More about the authors

Journal: Forensic Medical Expertise. 2024;67(4): 37‑41

DOI: 10.17116/sudmed20246704137

Views: 536

Downloaded: 2

Buy for 300₽
Contact the author
Table of contents

EXPERIENCE OF DATA ANALYSIS APPLICATION FOR PROCEEDING RESEARCH DATA IN SOLVING THE PROBLEM OF TARGET AGE GROUP ESTABLISHMENT
EXPERIENCE OF DATA ANALYSIS APPLICATION FOR PROCEEDING RESEARCH DATA IN SOLVING THE PROBLEM OF TARGET AGE GROUP ESTABLISHMENT

To cite this article:

Pigolkin YuI, Solodovnikov VI, Zolotenkov DD, Salem BR, Poletaeva MP, Zolotenkova GV. Experience of Data Analysis application for proceeding research data in solving the problem of target age group establishment. Forensic Medical Expertise. 2024;67(4):37‑41. (In Russ.)
https://doi.org/10.17116/sudmed20246704137

Подписка 2025-2 (Forensic Medical Expertise)
 
МСФ на ЯМ
Close metadata
Recommended articles:
Possibilities of using resu­lts of head computed tomo­graphy in victims with traumatic brain inju­ries. Fore­nsic Medi­cal Expe­rtise. 2024;(3):24-28
Deve­lopment and testing of new methodical approaches for predicting cardiovascular events in healthy people using machine learning technology based on the «INTEREPID» inte­rnational research. Russian Journal of Preventive Medi­cine. 2024;(3):72-79
Arti­ficial inte­lligent systems in the deve­lopment of assi­sted reproductive technologies. Russian Bulletin of Obstetrician-Gynecologist. 2024;(2):19-29
Thyroid cartilage fracture following sneezing as a cause of spontaneous pneumomediastinum. Piro­gov Russian Journal of Surgery. 2024;(4):146-150
The use of fixed expa­nders with orthodontic mini­screws support in children with mesial occlusion. Stomatology. 2024;(2):61-70
Arti­ficial inte­lligence in dermatology: oppo­rtunities and prospects. Russian Journal of Clinical Dermatology and Vene­reology. 2024;(3):246-252
Stra­ngulated hernia of the fora­men of Winslow complicated by acute colo­nic obstruction. Piro­gov Russian Journal of Surgery. 2024;(8):92-95
Modern concept of treatment of adolescents with Class III malo­cclusion. Stomatology. 2024;(4):44-53
Deve­lopment and safety study of a 3D printed middle turbinate splint. Russian Bulletin of Otorhinolaryngology. 2024;(4):30-36

The article presents the experience of artificial intelligence application in research process. The article contains general information about basic concepts of machine learning (clustering and visualization), as well as considers more detaily an experience of clinical testing. The effectiveness of applying Data Analysis methods and means as one of the research stages is demonstrated on the example of a case on processing medical information using algorithms of machine learning: solving the problem on diagnostic value of the proposed indicator (FTF) for determining target age groups. Implementation of such approach of digital transformation improves the operational effectiveness of researches, as well as quality and availability of final technological products being developed — software for solving expert problems.

Keywords:

age assessment of living persons
age assessment of children and adolescents
bone age
knee
machine learning
data clustering
computed tomography
medical visualization

Authors:

Pigolkin Yu.I.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Solodovnikov V.I.

Design Information Technologies Center

Zolotenkov D.D.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Salem B.R.

Design Information Technologies Center

Poletaeva M.P.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Zolotenkova G.V.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Received:

18.03.2024

Accepted:

25.04.2024

List of references:

  1. Chernykh SI, Baybulatova DV. Natsionalnyi proect (programma) «Tsifrovaya economika Rossiyskoy Federatsii»: problemy tselepolaganiya i finansirovaniya. Aktualnye voprosy ekonomiki. 2023;2:19-38. (In Russ.). https://doi.org/10.24412/2071-6435-2023-2-19-38
  2. «Pasport natsionalnogo proekta «Natsionalnaya programma «Tsifrovaya ekonomika Rossiyskoy Federatsii». Utverzhden prezidiumom Soveta pri Prezidente Rossiyskoiy Federatsii po strategicheskomu razvitiyu i natsionalnym proektam, protokol ot 4 iunya 2019 goda No. 7. (In Russ.).
  3. Pasport federalnogo proekta Iskusstvennyi intellekt natsionalnoy programmy Tsifrovaya ekonomika Rossiyskoy Federatsii (prilozhenie No. 3 k protokolu prezidiuma Pravitelstvennoy komissii po tsifrovomu razvitiyu, ispolzovaniyu informatsionnyh tehnologiy dlya uluchsheniya kachestva zhizni i usloviy vedeniya predprenimatelskoy deyatelnosti ot 27.09.2020 No. 17). (In Russ.).
  4. Rasporyazhenie Pravitelstva Rossiyskoy Federatsii ot 28 iyulya 2017 goda No. 1632-r «Ob utverzhdenii programmy «Tsifrovaya ekonomika Rossiyskoy Federatsii». Data obrascheniya: 24 marta 2023 goda. (In Russ.).
  5. Cifrovoe budushchee. Sechenovskie vesti. 2024;2(132):2. (In Russ.).
  6. Leonov SV, Shakiryanova YuP, Pinchuk PV. Perspektivy razvitiya trehmernogo modelirovaniya dlya resheniya sudebno-meditsinskih ekspertnyh zadach: BIM-tehnologiya i 4D-modelirovaniye. Sudebnaya meditsina. 2020;6(1):4-13. (In Russ.). https://doi.org/10.19048/2411-8729-2020-6-1-4-13
  7. Zolotenkova GV, Rogachev AI, Pigolkin YI, Edelev IS, Borshchevskaya VN, Cameriere R. Klassifikatsia vozrasta v sudebnoy meditsine s ispolzovaniem metodov mashinnogo obucheniya. Sovremennye tehnologii v meditsine. 2022;14(1):15-24. (In Russ.). https://doi.org/10.17691/stm2022.14.1.02
  8. Zolotenkova GV, Gridina NV, Solodovnikov VI, Trufanov MI, Pigolkin YuI. Vychisleniye biologicheskogo vozrasta individuuma s ispolzovaniem noveyshih informatsionnyh tehnologiy i postroenie perspektivnogo intellektualnogo programmno-apparatnogo kompleksa. Forensic Medical Expertise. 2019;62(3):42-47. (In Russ.). https://doi.org/10.17116/sudmed20196203142
  9. Gridina NV, Zolotenkova GV, Rogachev AI, Pigolkin YuI. Instrumentalnoe obespecheniye resheniya zadachi klassifikatsii pri sudebno-meditsinskoy diagnostike biologicheskogo vozrasta neopoznannogo individuuma. Sistemy vysokoy dostupnosti. 2020;16(4):64-70. (In Russ.). https://doi.org/10.18127/j20729472-202004-06
  10. Leonov SV, Fomina EE. Programmnyi kompleks dlya identifikatsii lichnosti po kharakteristikam cykla shaga. Programmnye produkty i sistemy. 2023;36(2):303-308. (In Russ.). https://doi.org/10.15827/0236-235X.142.303-308
  11. Leonov SV, Pinchuk PV, Shakiryanova YuP. Obzor programmno-apparatnyh kompleksov sozdaniya trehmernogo izobrazheniya golovy cheloveka i vozmozhnost ih ispolzovaniya v tselyah identifikatsii lichnosti. Meditsinskaya ekspertiza i pravo. 2017;5:21-24. (In Russ.).
  12. Scendoni R, Giuseppe C, Zolotenkova G, Zolotenkov D, Rosamaria De Vivo, D’Aguanno G, Recchia L, Cameriere R. Medico-legal indicators and cut-offs in different age classes through quantitative analysis of epiphyseal fusion segments on knee CT scans. Legal medicine. 2023;65:102318. https://doi.org/10.1016/j.legalmed.2023.102318
  13. Zolotenkov D, Trufanov M, Solodovnikov V. Ustanovleniye vozrasta individuuma na osnove analiza KT kolennogo sustava s primeneniem iskusstvennyh neyronnyh setey i komputernogo zreniya. Predvaritelnye rezultaty. Sudebnaya meditsina. 2023;9(4):403-412. (In Russ.). https://doi.org/10.17816/fm11915

Close metadata

Contact the author
Email
Message
The publishing house "Media Sphere" does not provide treatment services, does not give recommendations on contacting medical institutions and specific specialists, on the prescription of medicines and dietary supplements.

Email Confirmation

An email was sent to test@gmail.com with a confirmation link. Follow the link from the letter to complete the registration on the site.

Email Confirmation

Contact us
If you have any questions, complaints or suggestions, please use this feedback form.
Email
Message
The publishing house "Media Sphere" does not provide treatment services, does not give recommendations on contacting medical institutions and specific specialists, on the prescription of medicines and dietary supplements.
Submit Application

You can become an author of one of our magazines, send a request and we will consider it in during the day.

Name
Phone
E-mail
Message
Login
Registration
E-mail
Password
Forgot Password?

Log in to the site using your account in one of the services

Password recovery
E-mail
Login
Register

We use cооkies to improve the performance of the site. By staying on our site, you agree to the terms of use of cооkies. To view our Privacy and Cookie Policy, please. click here.