CONCLUSION
Validation of a prediction model is extremely important as it provides
model applicability in different populations. The model’s internal
validation is quite common. However, to make a model generalizable and
applicable in clinical practice, the model must need to be externally
validated. Models that are externally validated multiple times with
sufficient good performance are reliable and often recommended in
clinical guidelines for implementation. Although, there are many
prediction models only a few with external validations. We suggest
investigators focus not only on just prediction model development but
also on external validation of their developed model.