Development of prediction model of low anterior resection syndrome for colorectal cancer patients after surgery based on machine-learning technique.

The five models developed based on the machine-learning methods showed good prediction performance. However, considering the simplicity of clinical use of the model results, the logistic regression model is most recommended. The clinical applicability of these models will also need to be evaluated with external cohort data.