Prediction model of ocular metastasis from primary liver cancer: Machine learning‐based development and interpretation study

Autor:	Jin‐Qi Sun, Shi‐Nan Wu, Zheng‐Lin Mou, Jia‐Yi Wen, Hong Wei, Jie Zou, Qing‐Jian Li, Zhao‐Lin Liu, San Hua Xu, Min Kang, Qian Ling, Hui Huang, Xu Chen, Yi‐Xin Wang, Xu‐Lin Liao, Gang Tan, Yi Shao
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	machine learning ocular metastasis primary liver cancer Shapley additive explanations XGBoost Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Zdroj:	Cancer Medicine, Vol 12, Iss 20, Pp 20482-20496 (2023)
Druh dokumentu:	article
ISSN:	2045-7634
DOI:	10.1002/cam4.6540
Popis:	Abstract Background Ocular metastasis (OM) is a rare metastatic site of primary liver cancer (PLC). The purpose of this study was to establish a clinical predictive model of OM in PLC patients based on machine learning (ML). Methods We retrospectively collected the clinical data of 1540 PLC patients and divided it into a training set and an internal test set in a 7:3 proportion. PLC patients were divided into OM and non‐ocular metastasis (NOM) groups, and univariate logistic regression analysis was performed between the two groups. The variables with univariate logistic analysis p
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/fccc9b65aaee4205b013568bcf80097e Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.