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Abstract <p>The advantages and disadvantages of using clustering methods using the Kohonen neural network and the density-based spatial clustering of applications with noise (DBSCAN) algorithm for solving problems of analyzing multidimensional medical data are presented. An example of using clustering methods to identify the relationship between the development of sensorineural hearing loss in newborns and the disease caused by the COVID-19 virus in the children themselves or in their mothers during pregnancy is analyzed. The considered methods are also used to prepare recommendations for monitoring newborns depending on the results of clustering data on their examination and anamnesis using various methods. The use of clustering methods in medicine expands the arsenal of tools for researchers and practicing doctors who use them for the purpose of diagnosing, predicting the course of diseases, the development of pathologies, and forming a treatment plan.</p>

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Comparative Analysis and Application of Algorithms for Clustering Multidimensional Medical Data

  • 期刊论文

  • 发表日期：

    2025年10月21日

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  • S. P. Dudarov,
  • V. V. Kunievskiy,
  • A. G. Matroskin,
  • I. V. Rakhmanova

摘要

Abstract

The advantages and disadvantages of using clustering methods using the Kohonen neural network and the density-based spatial clustering of applications with noise (DBSCAN) algorithm for solving problems of analyzing multidimensional medical data are presented. An example of using clustering methods to identify the relationship between the development of sensorineural hearing loss in newborns and the disease caused by the COVID-19 virus in the children themselves or in their mothers during pregnancy is analyzed. The considered methods are also used to prepare recommendations for monitoring newborns depending on the results of clustering data on their examination and anamnesis using various methods. The use of clustering methods in medicine expands the arsenal of tools for researchers and practicing doctors who use them for the purpose of diagnosing, predicting the course of diseases, the development of pathologies, and forming a treatment plan.