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 , KR

2 Institute for Liver and Digestive Diseases, Hallym University , Chuncheon , KR

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

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

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

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

7 Center for Gastric Cancer, Research Institute and Hospital, National Cancer Center, Goyang , KR

*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
  • KR
  • Phone: 82 33-240-5821
  • Email: csbang@hallym.ac.kr