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A novel and interpretable risk model for predicting distant metastasis in appendiceal malignant neoplasms: A retrospective study based on the SEER database

2025-02-11

Abstract excerpt

<h4>Background: </h4> Timely identification and treatment can greatly enhance the prognosis of patients with distant metastases(DM). This study aims to reveal the risk factors for DM in appendiceal malignant neoplasms patients, and establish a machine learning (ML) model for predicting the risk of DM. <h4>Methods: </h4> A total of 9,376 patients with appendiceal malignant neoplasms, categorized based on the AJCC...

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Literature Corpus work
250290bc-c114-5dbb-aebe-5a76f95679d3
DOI
10.22541/au.173927358.81987754/v1
Open publication

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A novel and interpretable risk model for predicting distant metastasis in appendiceal malignant neoplasms: A retrospective study based on the SEER databaseDOI 10.22541/au.173927358.81987754/v1
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