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Abstract <p>In this work, a comprehensive approach was developed for processing high-dimensional medical data, with special attention given to addressing the issue of imbalanced observation-to-feature ratios. The key goal of our study is to construct a universal pipeline designed to extract stable patterns and potential biomarkers under conditions of limited observations and high data dimensionality.</p>

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Data Processing for Complex Medical Investigations

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • N. L. Shchegoleva,
  • P. A. Tonka,
  • A. V. Bogdanov,
  • N. M. Zalutskaya

摘要

Abstract

In this work, a comprehensive approach was developed for processing high-dimensional medical data, with special attention given to addressing the issue of imbalanced observation-to-feature ratios. The key goal of our study is to construct a universal pipeline designed to extract stable patterns and potential biomarkers under conditions of limited observations and high data dimensionality.