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Fig 1.

Study plot detailing study flow as well as inclusion and exclusion criteria.

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Fig 1 Expand

Table 1.

Included predictors and baseline demographics.

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Table 1 Expand

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).

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Fig 2 Expand

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.

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Fig 3 Expand

Table 2.

Performance metrics of different prediction models.

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Table 2 Expand

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.

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Fig 4 Expand