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Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Huang et al [33] conducted a study on vancomycin dose prediction using the XGB technique, in which composite variables incorporating low hematocrit and elevated creatinine concentrations exhibited high feature importance. There is minimal biological plausibility for hematocrit in the dose prediction model. One possible explanation is that it may serve as a surrogate for the volume of distribution, which is significantly increased in critically ill patients.

Heonyi Lee, Yi-Jun Kim, Jin-Hong Kim, Soo-Kyung Kim, Tae-Dong Jeong

J Med Internet Res 2025;27:e63983