Performance and efficiency of machine learning models in analyzing capillary serum protein electrophoresis.

Journal: Clinica chimica acta; international journal of clinical chemistry
PMID: 39875052

Abstract

BACKGROUND AND OBJECTIVE: Serum protein electrophoresis (SPEP) plays a critical role in diagnosing diseases associated with M-proteins. However, its clinical application is limited by a heavy reliance on experienced experts.

Authors

  • Xia Wang
    Department of Neurology, The Sixth People's Hospital of Huizhou City, Huizhou, China.
  • Mei Zhang
    Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
  • Chuan Li
    State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Chengyao Jia
    Department of Laboratory Medicine West China Hospital Sichuan University Chengdu China.
  • Xijie Yu
    Department of Endocrinology and Metabolism Laboratory of Endocrinology and Metabolism Rare Disease Center West China Hospital Sichuan University Chengdu China. Electronic address: xijieyu@scu.edu.cn.
  • He He

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