Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis.

Journal: Radiation oncology (London, England)
Published Date: Oct 5, 2018

Abstract

BACKGROUND: To investigate the effect of machine learning methods on predicting the Overall Survival (OS) for non-small cell lung cancer based on radiomics features analysis.

Authors

  • Wenzheng Sun
    School of Information Science and Engineering, Shandong University, Qingdao, Shandong, 266237, People's Republic of China.
  • Mingyan Jiang
    College of Landscape Architecture, Sichuan Agricultural University, Chengdu, Sichuan, China.
  • Jun Dang
    Department of Oncology, The First Affiliate Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
  • Panchun Chang
    School of Electrical and Information Engineering, Qilu Institute of Technology, Jinan, Shandong, 250200, People's Republic of China.
  • Fang-Fang Yin
    Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.

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