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A genetic programming approach to oral cancer prognosis

Tan MS 1 , Tan JW 1 , Chang SW 1 , Yap HJ 2 , Abdul Kareem S 3 , Zain RB 4

Affiliations 

  • 1 Bioinformatics Program, Institute of Biological Sciences, Faculty of Science, University of Malaya , Kuala Lumpur , Malaysia
  • 2 Department of Mechanical Engineering, Faculty of Engineering, University of Malaya , Kuala Lumpur , Malaysia
  • 3 Department of Artificial Intelligence, Faculty of Computer Science & Information Technology, University of Malaya , Kuala Lumpur , Malaysia
  • 4 Oral Cancer Research & Coordinating Centre (OCRCC), Faculty of Dentistry, University of Malaya , Kuala Lumpur , Malaysia
PeerJ, 2016;4:e2482.
PMID: 27688975 DOI: 10.7717/peerj.2482

Abstract

The potential of genetic programming (GP) on various fields has been attained in recent years. In bio-medical field, many researches in GP are focused on the recognition of cancerous cells and also on gene expression profiling data. In this research, the aim is to study the performance of GP on the survival prediction of a small sample size of oral cancer prognosis dataset, which is the first study in the field of oral cancer prognosis.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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