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Nonbinary data were one-hot encoded, a method for rearranging categorical data into binary variables, and numerical data were normalized using min-max scaling. This would convert all numeric values between or equal to a value of 0 and 1. Min-max scaling is given by:
One-hot encoding, min-max scaling, and dataset splitting were accomplished using the Scikit-Learn library (version 0.24.2) [24]. These steps are required to improve the performance of machine learning models and training stability.
J Med Internet Res 2025;27:e62853
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Of these, we selected the first TDM consultation data (n=540) in the same patients if multiple were requested, and excluded patients aged 18 years or younger (n=22), those undergoing hemodialysis (n=38) or estimated glomerular filtration rate (e GFR) less than 15 m L/min/1.73 m2 (n=10), patients with total medication time of less than 48 hours (n=43), patients with less than 3 medication doses (n=6), patients with vancomycin trough concentrations below the lower limit of quantification (n=4), patients with no
J Med Internet Res 2025;27:e63983
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