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Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence.

Luyao ChangXin HaoJing YuJinyuan ZhangYimeng LiuXuxiao YeZe YuFei GaoXiaolu PangChunhua Zhou
Published in: International journal of clinical pharmacy (2024)
The XGBoost model for predicting blood concentration of venlafaxine using real-world evidence was developed, guiding the adjustment of regimen in clinical practice.
Keyphrases
  • machine learning
  • clinical practice
  • artificial intelligence
  • big data
  • deep learning