A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer.

Journal: Journal of healthcare engineering
Published Date: Mar 19, 2018

Abstract

OBJECT: Pathologic prediction of prostate cancer can be made by predicting the patient's prostate metastasis prior to surgery based on biopsy information. Because biopsy variables associated with pathology have uncertainty regarding individual patient differences, a method for classification according to these variables is needed.

Authors

  • Jae Kwon Kim
    Department of Computer Science and Information Engineering, Inha University, InhaRo 100, Nam-gu, Incheon, South Korea.
  • Mun Joo Choi
    Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Jong Sik Lee
    Department of Computer Science and Information Engineering, Inha University, InhaRo 100, Nam-gu, Incheon, South Korea.
  • Jun Hyuk Hong
    Department of Urology, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Choung-Soo Kim
    Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Seong Il Seo
    Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Chang Wook Jeong
    Department of Urology, Seoul National University Hospital, Seoul, Korea.
  • Seok-Soo Byun
    Department of Urology, Seoul National University Bundang Hospital, Bundang, Korea.
  • Kyo Chul Koo
    Department of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Byung Ha Chung
  • Yong Hyun Park
    Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Ji Youl Lee
    Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • In Young Choi
    Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

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