A data-driven approach to a chemotherapy recommendation model based on deep learning for patients with colorectal cancer in Korea.

Journal: BMC medical informatics and decision making
Published Date: Sep 22, 2020

Abstract

BACKGROUND: Clinical Decision Support Systems (CDSSs) have recently attracted attention as a method for minimizing medical errors. Existing CDSSs are limited in that they do not reflect actual data. To overcome this limitation, we propose a CDSS based on deep learning.

Authors

  • Jin-Hyeok Park
    Department of IT Convergence Engineering, Gachon University, 1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, 13120, Republic of Korea.
  • Jeong-Heum Baek
    Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.
  • Sun Jin Sym
    Division of Oncology, Department of Internal Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.
  • Kang Yoon Lee
    Department of Computer Engineering, Gachon University, 1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, 13120, Republic of Korea.
  • Youngho Lee
    Department of Computer Engineering, Gachon University, 1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, 13120, Republic of Korea. lyh@gachon.ac.kr.

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