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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
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Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/12/10/2802 |