Long short-term memory artificial neural network model for prediction of prostate cancer survival outcomes according to initial treatment strategy: development of an online decision-making support system.

Journal: World journal of urology
Published Date:

Abstract

PURPOSE: The delivery of precision medicine is a primary objective for both clinical and translational investigators. Patients with newly diagnosed prostate cancer (PCa) face the challenge of deciding among multiple initial treatment modalities. The purpose of this study is to utilize artificial neural network (ANN) modeling to predict survival outcomes according to initial treatment modality and to develop an online decision-making support system.

Authors

  • Kyo Chul Koo
    Department of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Kwang Suk Lee
    Department of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Suah Kim
    Selvas AI, Seoul, Republic of Korea.
  • Choongki Min
    Selvas AI, Seoul, Republic of Korea.
  • Gyu Rang Min
    Department of Urology, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 135-720, Republic of Korea.
  • Young Hwa Lee
    Department of Urology, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 135-720, Republic of Korea.
  • Woong Kyu Han
    Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Koon Ho Rha
    Department of Urology, Yonsei University College of Medicine, Seoul, Korea.
  • Sung Joon Hong
    Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Seung Choul Yang
    Department of Urology, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 135-720, Republic of Korea.
  • Byung Ha Chung