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Development and validation of a machine learning model for differential diagnosis of malignant pleural effusion using routine laboratory data.

Ting-Ting WeiJia-Feng ZhangZhuo ChengLei JiangJiang-Yan LiLin Zhou
Published in: Therapeutic advances in respiratory disease (2023)
The development of a machine learning model utilizing routine laboratory biomarkers significantly enhances the diagnostic capability for distinguishing between MPE and BPE. The XGBoost model emerges as a valuable tool for the diagnosis of MPE.
Keyphrases
  • machine learning
  • big data
  • clinical practice
  • artificial intelligence
  • deep learning