Machine learning for predicting liver and/or lung metastasis in colorectal cancer: A retrospective study based on the SEER database

This study aims to establish a machine learning (ML) model for predicting the risk of liver and/or lung metastasis in colorectal cancer (CRC). Using the National Institutes of Health (NIH)'s Surveillance, Epidemiology, and End Results (SEER) database, a total of 51265 patients with pathological...

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Veröffentlicht in:	European journal of surgical oncology 2024-07, Vol.50 (7), p.108362, Article 108362
Hauptverfasser:	Guo, Zhentian, Zhang, Zongming, Liu, Limin, Zhao, Yue, Liu, Zhuo, Zhang, Chong, Qi, Hui, Feng, Jinqiu, Yang, Chunmin, Tai, Weiping, Banchini, Filippo, Inchingolo, Riccardo
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Algorithms Area Under Curve China - epidemiology Colorectal cancer Colorectal Neoplasms - pathology Female Humans Liver and/or lung metastasis Liver Neoplasms - secondary Lung Neoplasms - pathology Lung Neoplasms - secondary Machine Learning Male Middle Aged Retrospective Studies Risk Assessment ROC Curve SEER Program
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