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Pigolkin Yu.I.

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

Solodovnikov V.I.

Center of Information Technologies in Design of the Russian Academy of Sciences

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

Read: 1022 times

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

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.

Center of Information Technologies in Design of the Russian Academy of Sciences

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

Close metadata

References:

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  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.).
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