This paper is in the following e-collection/theme issue:

Quality Improvement (260) Advanced Data Analytics in eHealth (142) Electronic Health Records (1068) Clinical Information and Decision Making (1434) Clinical Informatics (1050)

Published on in Vol 10, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35709, first published .
The Application of Graph Theoretical Analysis to Complex Networks in Medical Malpractice in China: Qualitative Study

The Application of Graph Theoretical Analysis to Complex Networks in Medical Malpractice in China: Qualitative Study

The Application of Graph Theoretical Analysis to Complex Networks in Medical Malpractice in China: Qualitative Study

Authors of this article:

Shengjie Dong1, 2 Author Orcid Image ;   Chenshu Shi3 Author Orcid Image ;   Wu Zeng4 Author Orcid Image ;   Zhiying Jia1, 5 Author Orcid Image ;   Minye Dong1 Author Orcid Image ;   Yuyin Xiao1 Author Orcid Image ;   Guohong Li1, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Yang Q, Luo L, Lin Z, Wen W, Zeng W, Deng H, Scendoni R. A machine learning-based predictive model of causality in orthopaedic medical malpractice cases in China. PLOS ONE 2024;19(4):e0300662 View
  2. Zhang H, Gu Y, Liang B, Gao Y, Zhang F, Yun L. Eager for an innovative path: solving the puzzle of medical dispute resolution in China combined with bibliometric analysis. Frontiers in Health Services 2024;4 View