Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47862, first published .
Improving an Electronic Health Record–Based Clinical Prediction Model Under Label Deficiency: Network-Based Generative Adversarial Semisupervised Approach

Improving an Electronic Health Record–Based Clinical Prediction Model Under Label Deficiency: Network-Based Generative Adversarial Semisupervised Approach

Improving an Electronic Health Record–Based Clinical Prediction Model Under Label Deficiency: Network-Based Generative Adversarial Semisupervised Approach

Authors of this article:

Runze Li1 Author Orcid Image ;   Yu Tian1 Author Orcid Image ;   Zhuyi Shen1 Author Orcid Image ;   Jin Li2 Author Orcid Image ;   Jun Li3 Author Orcid Image ;   Kefeng Ding3 Author Orcid Image ;   Jingsong Li1 Author Orcid Image

Runze Li   1 * , BE ;   Yu Tian   1 * , PhD ;   Zhuyi Shen   1 , BE ;   Jin Li   2 , PhD ;   Jun Li   3 , MD ;   Kefeng Ding   3 , MD ;   Jingsong Li   1 , PhD

1 College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China

2 Institute for Artificial Intelligence in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China

3 Department of Surgical Oncology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China

*these authors contributed equally

Corresponding Author:

  • Jingsong Li, PhD
  • College of Biomedical Engineering and Instrument Science
  • Zhejiang University
  • Zhou Yiqing Science and Technology Building, 2nd floor
  • 38 Zheda Road
  • Hangzhou, 310027
  • China
  • Phone: 86 571-87951564
  • Fax: 86 571-87951564
  • Email: ljs@zju.edu.cn