Construction and Interpretation of Prediction Model of Teicoplanin Trough Concentration via Machine Learning

Abstract

We firstly adopted a machine learning approach to predict the teicoplanin trough concentration, and interpreted the prediction model by the SHAP method, which is of great significance and value for the clinical medication guidance.