Deep-Transfer-Learning-Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer.

Abstract

Authors

• Sunkyu Kim
  Department of Computer Science and Engineering, Korea University, Seoul 02841, South Korea.
• Seung-Seob Kim
• Eejung Kim
  Department of Internal Medicine (Medical Oncology), Yale University School of Medicine, New Haven, CT.
• Michael Cecchini
  Department of Internal Medicine (Medical Oncology), Yale University School of Medicine, New Haven, CT.
• Mi-Suk Park
  Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
• Ji A Choi
  Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Korea.
• Sung Hyun Kim
  World Institute of Kimchi, Gwangju, 61755 Korea.
• Ho Kyoung Hwang
  Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, South Korea.
• Chang Moo Kang
  Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.
• Hye Jin Choi
  Pancreaticobiliary Cancer Clinic, Yonsei Cancer Center, Severance Hospital, Seoul, Korea.
• Sang Joon Shin
  Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
• Jaewoo Kang
  Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea.
• Choong-Kun Lee
  Pancreaticobiliary Cancer Clinic, Yonsei Cancer Center, Severance Hospital, Seoul, Korea.

Keywords

External Resources