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Table 4 Overview Of methods for model validation across studies (N = 28 studies)

From: Application of machine learning in predicting survival outcomes involving real-world data: a scoping review

Type of validation methods

Number of studies

Featuring studies

Internal validation

19

 

Training/testing split

15

26,27,29,31,32,36,38–41,44,46,49,50,53

Resampling involving k-fold cross-validation

4

35,42,48,52

External validation

6

 

An independent dataset for validation

5

30,34,37,43,47

Prospective validation

1

51

No validation

3

28,33,45