Machine Learning Model Based on Prognostic Nutritional Index for Predicting Long‐Term Outcomes in Patients With HCC Undergoing Ablation

Machine Learning Model Based on Prognostic Nutritional Index for Predicting Long‐Term Outcomes in Patients With HCC Undergoing Ablation

ABSTRACT Aims To develop multiple machine learning (ML) models based on the prognostic nutritional index (PNI) and determine the optimal model for predicting long‐term survival outcomes in hepatocellular carcinoma (HCC) patients after local ablation. Methods From January 2009 to December 2019, we an...

Full description

Saved in:
Bibliographic Details
Main Authors: Nan Zhang, Ke Lin, Bin Qiao, Liwei Yan, Dongdong Jin, Daopeng Yang, Yue Yang, Xiaohua Xie, Xiaoyan Xie, Bowen Zhuang
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Cancer Medicine
Subjects:
hepatocellular carcinoma
local ablation
machine learning model
prognosis
prognostic nutritional index
Online Access:https://doi.org/10.1002/cam4.70344
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/cam4.70344

Similar Items