Abstract:Background:
New-onset diabetes represent a high-risk cohort to screen for pancreatic cancer.
Goals:
Develop a machine model to predict pancreatic cancer among patients with new-onset diabetes.
Study:
A retrospective cohort of patients with new-onset diabetes was assembled from multiple health care networks in the United States. An XGBoost machine learning model was designed from a portion of this cohort (the… Show more
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