Prediction of Overall Survival and Novel Classification of Patients with Gastric Cancer Using the Survival Recurrent Network.

Journal: Annals of surgical oncology
Published Date: Mar 1, 2018

Abstract

BACKGROUND: Artificial neural networks (ANNs) have been applied to many prediction and classification problems, and could also be used to develop a prediction model of survival outcomes for cancer patients.

Authors

  • Sung Eun Oh
    Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Sung Wook Seo
    3 Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Min-Gew Choi
    Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. mingew.choi@samsung.com.
  • Tae Sung Sohn
    Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Jae Moon Bae
    Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Sung Kim
    Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

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