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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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Similarly, Allegue et al [32] found that moderate-intensity interventions (30 min, 5 times a wk) for 3 months led to significant improvements in FMA-UE and MAL, underscoring the value of structured, long-term interventions. Wilson et al [29] showed that a flexible 8-week intervention with the EDNA system (3-4 sessions per wk) significantly improved upper extremity function, emphasizing the role of consistent engagement.
J Med Internet Res 2025;27:e69003
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