Ensemble learning based on efficient features combination can predict the outcome of recurrence-free survival in patients with hepatocellular carcinoma within three years after surgery

Ensemble learning based on efficient features combination can predict the outcome of recurrence-free survival in patients with hepatocellular carcinoma within three years after surgery

Preoperative prediction of recurrence outcome in hepatocellular carcinoma (HCC) facilitates physicians’ clinical decision-making. Preoperative imaging and related clinical baseline data of patients are valuable for evaluating prognosis. With the widespread application of machine learning techniques,...

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Bibliographic Details
Main Authors: Liyang Wang, Meilong Wu, Chengzhan Zhu, Rui Li, Shiyun Bao, Shizhong Yang, Jiahong Dong
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Oncology
Subjects:
recurrence prediction
efficient features
ensemble learning
hepatocellular carcinoma
surgery
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1019009/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.1019009/full

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