MultiThal-classifier, a machine learning-based multi-class model for thalassemia diagnosis and classification.

Journal: Clinica chimica acta; international journal of clinical chemistry
PMID: 39521397

Abstract

BACKGROUND: The differential diagnosis between iron deficiency anemia (IDA) and thalassemia trait (TT) remains a significant clinical challenge. This study aimed to develop a machine learning-based multi-class model to differentiate among Microcytic-TT(TT with low mean corpuscular volume), Normocytic-TT (TT with normal mean corpuscular volume), IDA, and healthy individuals.

Authors

  • Wenqiang Wang
    Intelligent Manufacturing Research Center, Guangdong Midea Air-Conditioning Equipment Co., Ltd, Foshan, China.
  • RenQing Ye
    Department of Clinical Laboratory, Ningde Municipal Hospital of Ningde Normal University, Ningde, China.
  • BaoJia Tang
    Department of Clinical Laboratory, Ningde Municipal Hospital of Ningde Normal University, Ningde, China.
  • YuYing Qi
    Department of Clinical Laboratory, Ningde Municipal Hospital of Ningde Normal University, Ningde, China. Electronic address: fjndqyy@126.com.

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