Machine Learning Model Based on the Neutrophil-to-Eosinophil Ratio Predicts the Recurrence of Hepatocellular Carcinoma After Surgery

Machine Learning Model Based on the Neutrophil-to-Eosinophil Ratio Predicts the Recurrence of Hepatocellular Carcinoma After Surgery

Guanming Shao,* Yonghui Ma,* Chao Qu, Ruiqian Gao, Chengzhan Zhu, Linlin Qu, Kui Liu, Na Li, Peng Sun, Jingyu Cao Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, 266000, People’s Republic of China*These aut...

Full description

Bibliographic Details
Main Authors: Shao G, Ma Y, Qu C, Gao R, Zhu C, Qu L, Liu K, Li N, Sun P, Cao J
Format: Article
Language:English
Published: Dove Medical Press 2024-04-01
Series:Journal of Hepatocellular Carcinoma
Subjects:
hepatocellular carcinoma
liver resection
recurrence
machine learning
neutrophil-to-eosinophil ratio.
Online Access:https://www.dovepress.com/machine-learning-model-based-on-the-neutrophil-to-eosinophil-ratio-pre-peer-reviewed-fulltext-article-JHC

Internet

https://www.dovepress.com/machine-learning-model-based-on-the-neutrophil-to-eosinophil-ratio-pre-peer-reviewed-fulltext-article-JHC

Similar Items