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

Policy and Policy Proposals (115) Clinical Information and Decision Making (1328) Machine Learning (1385) New Methods (909) Artificial Intelligence (1198) Ethics, Privacy, and Legal Issues (457)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46854, first published .
Prediction of Medical Disputes Between Health Care Workers and Patients in Terms of Hospital Legal Construction Using Machine Learning Techniques: Externally Validated Cross-Sectional Study

Prediction of Medical Disputes Between Health Care Workers and Patients in Terms of Hospital Legal Construction Using Machine Learning Techniques: Externally Validated Cross-Sectional Study

Prediction of Medical Disputes Between Health Care Workers and Patients in Terms of Hospital Legal Construction Using Machine Learning Techniques: Externally Validated Cross-Sectional Study

Authors of this article:

Min Yi1 Author Orcid Image ;   Yuebin Cao2 Author Orcid Image ;   Lin Wang3 Author Orcid Image ;   Yaowen Gu1 Author Orcid Image ;   Xueqian Zheng4 Author Orcid Image ;   Jiangjun Wang5 Author Orcid Image ;   Wei Chen6 Author Orcid Image ;   Liangyu Wei7 Author Orcid Image ;   Yujin Zhou1 Author Orcid Image ;   Chenyi Shi1 Author Orcid Image ;   Yanlin Cao1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Shi X, Cui Y, Wang S, Pan Y, Wang B, Lei M. Development and validation of a web-based artificial intelligence prediction model to assess massive intraoperative blood loss for metastatic spinal disease using machine learning techniques. The Spine Journal 2024;24(1):146 View
  2. Yi M, Cao Y, Wang J, Shi C, Cheng Y, Cao Y. The Efficacy of Rule of Law Publicity Short Video Platforms in the Prevention of Medical Disputes Among Healthcare Professionals: A Propensity Score Analysis. Risk Management and Healthcare Policy 2023;Volume 16:2263 View
  3. Han T, Xiong F, Sun B, Zhong L, Han Z, Lei M. Development and validation of an artificial intelligence mobile application for predicting 30-day mortality in critically ill patients with orthopaedic trauma. International Journal of Medical Informatics 2024;184:105383 View
  4. Cui Y, Shi X, Qin Y, Wang Q, Cao X, Che X, Pan Y, Wang B, Lei M, Liu Y. Establishment and validation of an interactive artificial intelligence platform to predict postoperative ambulatory status for patients with metastatic spinal disease: a multicenter analysis. International Journal of Surgery 2024;110(5):2738 View