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Figure 1

From: Machine learning models to predict post-dialysis blood pressure in children and young adults on maintenance hemodialysis

Figure 1

Plots comparing Mean Absolute Percentage Error (MAPE) values and confidence intervals of ML models used to predict post-hemodialysis systolic BP (Top) and diastolic BP (Bottom). VARX vector autoregression with exogenous regressors, XGB Extreme gradient boosting, SVR support vector machines regression, RBF radial basis function, LR linear regression, RF Random Forest, KNN K-nearest neighbor.

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