Comparison of machine learning algorithms for the prediction of five-year survival in oral squamous cell carcinoma
Background/Aim: Machine learning analyses of cancer outcomes for oral cancer remain sparse compared to other types of cancer like breast or lung. The purpose of the present study was to compare the performance of machine learning algorithms in the prediction of global, recurrence-free five-year surv...
Main Authors: | Alkhadar, H. (Author), Ellis, I. (Author), Gardner, A. (Author), Macluskey, M. (Author), White, S. (Author) |
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Format: | Article |
Language: | English |
Published: |
Blackwell Publishing Ltd
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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