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In the management of kidney stones, identifying the stones’ composition is crucial for determining appropriate treatment methods, as different compositions may require different treatment strategies. This study introduces a novel approach utilising Fourier Transform Infrared (FTIR) spectra data to determine kidney stones’ composition. By using non-negative matrix factorisation (NMF) for dimensionality reduction and Gaussian mixture model (GMM) for Bayesian soft classification, this method aims to offer a faster and non-destructive alternative to other traditional methods, such as wet chemistry. Initial findings indicate that this approach can effectively analyse kidney stones’ composition, showing promise even in cases with limited sample sizes. The application of NMF and GMM to FTIR data could significantly improve the efficiency and accuracy of kidney stones’ composition analysis, potentially leading to more effective treatment options.

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Assessing the Performance of NMF and GMM in the Soft Classification of Kidney Stones: Insights from FTIR Data

  • 会议论文

  • 发表日期：

    2025年

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  • Aistis Raudys,
  • Aušra Šubonienė,
  • Arūnas Želvys

摘要

In the management of kidney stones, identifying the stones’ composition is crucial for determining appropriate treatment methods, as different compositions may require different treatment strategies. This study introduces a novel approach utilising Fourier Transform Infrared (FTIR) spectra data to determine kidney stones’ composition. By using non-negative matrix factorisation (NMF) for dimensionality reduction and Gaussian mixture model (GMM) for Bayesian soft classification, this method aims to offer a faster and non-destructive alternative to other traditional methods, such as wet chemistry. Initial findings indicate that this approach can effectively analyse kidney stones’ composition, showing promise even in cases with limited sample sizes. The application of NMF and GMM to FTIR data could significantly improve the efficiency and accuracy of kidney stones’ composition analysis, potentially leading to more effective treatment options.