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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study

Fig. 1

Chronic kidney disease (CKD) prediction and decision support framework. A total of 1,358 patients were included in this study, with 100 clinical variables applied. The data were divided into training (80%) and validation (20%) sets. The model was trained using k-fold cross-validation (k = 10), and a grid search was conducted to determine the best parameter combinations

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