Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25053, first published .
Establishing Machine Learning Models to Predict Curative Resection in Early Gastric Cancer with Undifferentiated Histology: Development and Usability Study

Establishing Machine Learning Models to Predict Curative Resection in Early Gastric Cancer with Undifferentiated Histology: Development and Usability Study

Establishing Machine Learning Models to Predict Curative Resection in Early Gastric Cancer with Undifferentiated Histology: Development and Usability Study

Chang Seok Bang   1, 2, 3, 4 * , MD, PhD ;   Ji Yong Ahn   5 , MD, PhD ;   Jie-Hyun Kim   6 , MD, PhD ;   Young-Il Kim   7 , MD, PhD ;   Il Ju Choi   7 , MD, PhD ;   Woon Geon Shin   1, 2 * , MD, PhD

1 Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Republic of Korea

2 Institute for Liver and Digestive Diseases, Hallym University, Chuncheon, Republic of Korea

3 Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Republic of Korea

4 Division of Big Data and Artificial Intelligence, Chuncheon Sacred Heart Hospital, Chuncheon, Republic of Korea

5 Division of Gastroenterology, Department of Internal Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea

6 Division of Gastroenterology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea

7 Center for Gastric Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Chang Seok Bang, MD, PhD
  • Department of Internal Medicine
  • Hallym University College of Medicine
  • Sakju-ro 77
  • Gangwon-do
  • Chuncheon, 24253
  • Republic of Korea
  • Phone: 82 33-240-5821
  • Fax: 82 33-241-8064
  • Email: csbang@hallym.ac.kr