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...
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: | |
Online Access: | https://www.mdpi.com/2673-7426/3/3/35 |
Similar Items
-
The Treatment of Non-Hodgkin's Lymphomas
by: David J. Straus
Published: (2023-08-01) -
Ultra Short Course Chemotherapy for Early-Stage Non-Hodgkin’s Lymphoma in Children
by: Elisabetta Schiavello, et al.
Published: (2022-08-01) -
Echocardiography Monitoring during Anthracycline Administration in Hodgkin and Non-Hodgkin’s Lymphoma: The Tei Index Evaluation
by: Agata Puzzovivo, et al.
Published: (2022-02-01) -
Current Trends in the Radiodiagnosis of Hodgkin’s Lymphoma in Children
by: K. A. Khasanova, et al.
Published: (2019-03-01) -
Hodgkin Reed–Sternberg-Like Cells in Non-Hodgkin Lymphoma
by: Paola Parente, et al.
Published: (2020-11-01)