Comparison of the Tree-Based Machine Learning Algorithms to Cox Regression in Predicting the Survival of Oral and Pharyngeal Cancers: Analyses Based on SEER Database

Comparison of the Tree-Based Machine Learning Algorithms to Cox Regression in Predicting the Survival of Oral and Pharyngeal Cancers: Analyses Based on SEER Database

This study aims to demonstrate the use of the tree-based machine learning algorithms to predict the 3- and 5-year disease-specific survival of oral and pharyngeal cancers (OPCs) and compare their performance with the traditional Cox regression. A total of 21,154 individuals diagnosed with OPCs betwe...

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Bibliographic Details
Main Authors: Mi Du, Dandara G. Haag, John W. Lynch, Murthy N. Mittinty
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Cancers
Subjects:
mouth neoplasms
forecasting
survivability
oropharyngeal
head and neck
Online Access:https://www.mdpi.com/2072-6694/12/10/2802

Internet

https://www.mdpi.com/2072-6694/12/10/2802

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