Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer.

Journal: Cancer research and treatment
Published Date: Jun 15, 2021

Abstract

PURPOSE: Machine learning (ML) is a strong candidate for making accurate predictions, as we can use large amount of data with powerful computational algorithms. We developed a ML based model to predict survival of patients with colorectal cancer (CRC) using data from two independent datasets.

Authors

  • Mohamed Hosny Osman
    Faculty of Medicine, Zagazig University, Zagazig, Egypt.
  • Reham Hosny Mohamed
    Faculty of Medicine, Zagazig University, Zagazig, Egypt.
  • Hossam Mohamed Sarhan
    Faculty of Pharmacy, British University in Egypt (BUE), El Shorouk, Egypt.
  • Eun Jung Park
    Section of Colon and Rectal Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, South Korea.
  • Seung Hyuk Baik
  • Kang Young Lee
  • Jeonghyun Kang
    Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

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