Machine learning algorithms with body fluid parameters: an interpretable framework for malignant cell screening in cerebrospinal fluid.

Journal: Clinical chemistry and laboratory medicine
Published Date: May 28, 2025

Abstract

OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model utilizing cerebrospinal fluid (CSF) body fluid parameters from hematology analyzers to screen for malignant cells.

Authors

  • Xianfei Ye
    Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
  • Xinfeng Zhao
    Hebei Engineering Research Center of Iron Ore Optimization and Iron Pre-process Intelligence, North China University of Science and Technology, Tangshan, Hebei, China.
  • Yinyu Lou
    Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
  • Hanqi Pan
    Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
  • Yunying Chen
    Department of Laboratory Medicine, Hangzhou Children's Hospital, Hangzhou, People's Republic of China.

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