An optimized support vector machine for lung cancer classification system.

Journal: Frontiers in oncology
Published Date:

Abstract

INTRODUCTION: Lung cancer is one of the main causes of the rising death rate among the expanding population. For patients with lung cancer to have a higher chance of survival and fewer deaths, early categorization is essential. The goal of thisresearch is to enhance machine learning to increase the precision and quality of lung cancer classification.

Authors

  • Mayowa O Oyediran
    Department of Computer Engineering, Ajayi Crowther University, Oyo, Nigeria.
  • Olufemi S Ojo
    Department of Computer Sciences, Ajayi Crowther University, Oyo, Nigeria.
  • Ibrahim A Raji
    Department of Mathematical and Computer Sciences Education, Emmanuel Alayande University of Education, Oyo, Nigeria.
  • Abidemi Emmanuel Adeniyi
    Department of Computer Science, Bowen University, Iwo, Nigeria.
  • Oluwasegun Julius Aroba
    Honorary Research Associate, Department of Operations and Quality Management, Durban University of Technology, Durban, South Africa.

Keywords

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