Recurrence of colorectal adenomatous polyps
Disease1 paper3 findings
- Humans1
Associations
3XGBoost
upin silico1
1 study
XGBoost
upin silico1
XGBoost predicts recurrence of colorectal adenomatous polyps in silico (AUC 0.849).
“in the test set, GBM and XGBoost maintained favorable discriminative performance with AUCs of 0.863 and 0.849, respectively.”
In silicotest set
Machine Learning-Based Investigation of Factors Influencing Recurrence of Colorectal Adenomatous Polyps: A Retrospective Cohort Study · Cancers · 17 Sep 2026
Gradient boosting machine
upin silico1
1 study
Gradient boosting machine
upin silico1
gradient boosting machine predicts recurrence of colorectal adenomatous polyps in silico (AUC 0.863).
“in the test set, GBM and XGBoost maintained favorable discriminative performance with AUCs of 0.863 and 0.849, respectively.”
In silicotest set
Machine Learning-Based Investigation of Factors Influencing Recurrence of Colorectal Adenomatous Polyps: A Retrospective Cohort Study · Cancers · 17 Sep 2026
HDL-C
upin humans1
1 study
HDL-C
upin humans1
HDL-C raises the risk of recurrence of colorectal adenomatous polyps in humans.
“Abnormal high-density lipoprotein cholesterol (HDL-C), higher baseline polyp count, and larger total polyp volume were independent risk factors for adenoma recurrence.”
Humanspost-polypectomy
Machine Learning-Based Investigation of Factors Influencing Recurrence of Colorectal Adenomatous Polyps: A Retrospective Cohort Study · Cancers · 17 Sep 2026