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Machine Learning Model Based on Multidimensional Laboratory Indicators for Predicting Distant Metastasis in Nasopharyngeal Carcinoma: A Multicenter Retrospective Cohort Study

2026-08-01

Abstract excerpt

<title>Abstract</title> <p>Background We aimed to develop and validate a machine learning (ML) model based on routine multidimensional laboratory indicators for individualized prediction of distant metastasis status in patients with newly diagnosed nasopharyngeal carcinoma (NPC). Methods A total of 1,085 patients with newly diagnosed NPC were retrospectively enrolled. Systematic integration of five categories o...

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Literature Corpus work
b49495f5-6394-54f9-a815-290b1725ff54
DOI
10.21203/rs.3.rs-10206699/v1
Open publication

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Machine Learning Model Based on Multidimensional Laboratory Indicators for Predicting Distant Metastasis in Nasopharyngeal Carcinoma: A Multicenter Retrospective Cohort StudyDOI 10.21203/rs.3.rs-10206699/v1
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