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A Prediction Model for Chemotherapy-Induced Thrombocytopenia Based on Real-World Data and a Close Relationship Between AST/ALT Ratio and Platelet Count in Patients with Solid Tumors.

Bingxin SongShishi ZhouChenghui LiHongjuan ZhengXia ZhangXiayun JinJianfei FuHuixian Hu
Published in: International journal of general medicine (2022)
The AST/ALT ratio was inversely associated with the CIT risk in cancer patients. The GAMM model based on laboratory indices presented a high accuracy in predicting the risk of CIT, and a potential to be translated into clinical management.
Keyphrases
  • chemotherapy induced
  • electronic health record
  • big data
  • peripheral blood
  • machine learning
  • deep learning
  • artificial intelligence