Development and Internal Validation of Machine Learning Algorithms for Determining Sodium Valproate Concentrations below the Standard Level Using a Risk Prediction Model of Children with Epilepsy

<div>Random forest (RF) model establishment. (a) The relationship between the number of decision trees and the model error. The <i>x</i>-axis represents the number of decision trees, and the <i>y</i>-axis represents the error rate of the established model. (b) The importance of the 30 variables based on the RF model.</div>

Journal of Clinical Pharmacy and Therapeutics

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Figure 3: Development and Internal Validation of Machine Learning Algorithms for Determining Sodium Valproate Concentrations below the Standard Level Using a Risk Prediction Model of Children with Epilepsy 

Figure 3 | Development and Internal Validation of Machine Learning Algorithms for Determining Sodium Valproate Concentrations below the Standard Level Using a Risk Prediction Model of Children with Epilepsy 