Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods
Background: Machine learning techniques are becoming useful as an alternative approach to conventional medical diagnosis or prognosis as they are good for handling noisy and incomplete data, and significant results can be attained despite a small sample size. Traditionally, clinicians make prognosti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central
2013
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/8124/1/Oral_cancer_prognosis_based_on_clinicopathologic.pdf |