Fig 1.
Study plot detailing study flow as well as inclusion and exclusion criteria.
Table 1.
Included predictors and baseline demographics.
Fig 2.
Receiver Operator Curves (ROC) of the reference and machine learning models in the test set for colorectal cancer (CRC) and CRC or high-risk polyps (bottom).
Fig 3.
Area Under the Curve (AUC) of our reference and machine learning models in the test set for colorectal cancer (CRC) and CRC or high-risk polyps.
The p value compares the machine learning models to the reference model using the DeLong test.
Table 2.
Performance metrics of different prediction models.
Fig 4.
Comparison of the reference Area Under the Curve (AUC) to machine learning models in the test set for colorectal cancer (CRC) and CRC or high-risk polyps.