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Explainable SHAP-XGBoost model for predicting post-operative mortality risk of pancreatic ductal adenocarcinoma

2026-06-17

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Pancreatic ductal adenocarcinoma (PDAC) is among the most lethal malignancies and a major public health problem. Post-operative mortality prediction (POMR) is pivotal for guiding risk stratification, management, and treatment plan. <bold>Objective</bold> We aimed to develop an explainable machine learning model and application for predicting the POMR of pati...

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Literature Corpus work
a274d3c0-00ef-5a74-a7e0-0acf919d438b
DOI
10.21203/rs.3.rs-8678026/v1
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Explainable SHAP-XGBoost model for predicting post-operative mortality risk of pancreatic ductal adenocarcinomaDOI 10.21203/rs.3.rs-8678026/v1
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