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Identification of patients at risk for pancreatic cancer in a 3-year timeframe based on machine learning algorithms

2023-08-06

Abstract excerpt

<h4>Importance</h4> Early detection of pancreatic cancer (PC) remains challenging largely due to the low population incidence and few known risk factors. However, screening in at-risk populations and detection of early cancer has the potential to significantly alter survival. <h4>Objective</h4> In this study, we aim to develop a predictive model to identify patients at risk for developing new-onset PC at two and a...

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Literature Corpus work
accfcab1-1512-5883-a43d-343cd97896ec
DOI
10.1101/2023.08.03.23293555
Open publication

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Identification of patients at risk for pancreatic cancer in a 3-year timeframe based on machine learning algorithmsDOI 10.1101/2023.08.03.23293555
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