Machine learning with in silico analysis markedly improves survival prediction modeling in colon cancer patients

Machine learning with in silico analysis markedly improves survival prediction modeling in colon cancer patients

Abstract Background Predicting the survival of cancer patients provides prognostic information and therapeutic guidance. However, improved prediction models are needed for use in diagnosis and treatment. Objective This study aimed to identify genomic prognostic biomarkers related to colon cancer (CC...

Full description

Bibliographic Details
Main Authors: Choong‐Jae Lee, Bin Baek, Sang Hee Cho, Tae‐Young Jang, So‐El Jeon, Sunjae Lee, Hyunju Lee, Jeong‐Seok Nam
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:Cancer Medicine
Subjects:
biomarkers
clinical outcome
colon cancer
in silico system analysis
machine learning
survival prediction model
Online Access:https://doi.org/10.1002/cam4.5420

Internet

https://doi.org/10.1002/cam4.5420

Similar Items