HIGHLIGHTS
- What: The aim of this study was to employ machine_learning to identify the factors that impact graft survival in paediatric kidney transplant recipients. The study presents descriptive statistics in the form of frequency, percentage, mean, standard deviation (SD), median, and interquartile range (IQR).
- Who: Posted Date March and colleagues from the University: have published the paper: Predicting graft survival in paediatric kidney transplant recipients using machine learning, in the Journal: (JOURNAL)
- How: The accuracy and F1 measures of the SVM Logistic Regression Naive Bayes MLP and XGBoost models were calculated in both the . . .
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