Skip to main content

Table 3 Overview of methods for model validation across studies (N = 43)

From: Application of machine learning in predicting hospital readmissions: a scoping review of the literature

Type of validation Number of studies (Percent) Featuring studies
Internal validation 33 (77%)  
Training/testing split 21 (49%) [51, 53, 55, 56, 58, 60, 65,66,67, 70, 73, 74, 76, 78, 79, 82,83,84,85,86,87]
Resampling 12 (28%)  
k-fold cross-validation 8 [49, 54, 57, 61, 68, 69, 77, 81]
Stratified k-fold cross-validation 2 [61, 80]
Repeated k-fold cross-validation 1 [48]
Repeated random test-train splits 1 [50]
External validation 4 (9%)  
Split by time 3 [48, 59, 63]
Separate dataset 1 [57]
No Validation 6 (14%) [46, 47, 52, 62, 72, 88]