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Table 2 Comparison of predictive performance between similarity-based models with other machine learning models

From: Study on the semi-supervised learning-based patient similarity from heterogeneous electronic medical records

 

Area under the receiver operating characteristic curve

F1-score

Cross-entropy loss

Naive bayes

0.92

0.80

3.60

Decision tree

0.91

0.73

0.72

Random forest

0.94

0.78

0.75

AdaBoost

0.86

0.70

1.16

R + E/L + E combination

0.89

0.67

1.84

R + L/E + L combination

0.95

0.84

1.23