Web-based explainable machine-learning tool for predicting five-year recurrence of colorectal cancer after curative resection: multicentre retrospective cohort study

Abstract Objective The World Health Organization identifies colorectal cancer as the third-most diagnosed malignancy and second leading cause of cancer-related mortality worldwide. Up to 30% of patients relapse within 5 years postoperatively; however, conventional staging methods cannot reliably str...

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書誌詳細

主要な著者:	Chi-Sheng Chen, Tai-Han Lin, Hsing-Yi Chung, Ming-Jr Jian, Chih-Kai Chang, Cherng-Lih Perng, Ping-Ying Chang, Wen-Yen Huang, Chao-Yang Chen, Yu-Chun Lin, Hung-Sheng Shang
フォーマット:	Artigo
言語:	Inglês
出版事項:	Springer 2025-11-01
シリーズ:	Discover Oncology
主題:	Colorectal cancer Machine learning Recurrence prediction Artificial intelligence Clinical decision-support system
オンライン･アクセス:	https://doi.org/10.1007/s12672-025-03840-1
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