Using Machine Learning to Expand the Ann Arbor Staging System for Hodgkin and Non-Hodgkin Lymphoma

Using Machine Learning to Expand the Ann Arbor Staging System for Hodgkin and Non-Hodgkin Lymphoma

The Ann Arbor system is disadvantaged in utilizing information from additional prognostic factors. In this study, we applied the Ensemble Algorithm for Clustering Cancer Data (EACCD) to create a prognostic system for lymphoma that integrates additional prognostic factors. Hodgkin and non-Hodgkin lym...

Full description

Bibliographic Details
Main Authors: Huan Wang, Zhenqiu Liu, Julie Yang, Li Sheng, Dechang Chen
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:BioMedInformatics
Subjects:
lymphoma
cancer staging
C-index
dendrogram
machine learning
Online Access:https://www.mdpi.com/2673-7426/3/3/35

Internet

https://www.mdpi.com/2673-7426/3/3/35

Similar Items