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

User-centred Design Case Studies (636) mHealth in a Clinical Setting (668) Natural Language Processing (791) Clinical Information and Decision Making (1615) E-Health / Health Services Research and New Models of Care (602)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57670, first published .
Novel Approach to Personalized Physician Recommendations Using Semantic Features and Response Metrics: Model Evaluation Study

Novel Approach to Personalized Physician Recommendations Using Semantic Features and Response Metrics: Model Evaluation Study

Novel Approach to Personalized Physician Recommendations Using Semantic Features and Response Metrics: Model Evaluation Study

Authors of this article:

Yingbin Zheng1 Author Orcid Image ;   Yunping Cai2 Author Orcid Image ;   Yiwei Yan1 Author Orcid Image ;   Sai Chen2 Author Orcid Image ;   Kai Gong1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Berikol G, Kanbakan A, Ilhan B, Doğanay F. Mapping artificial intelligence models in emergency medicine: A scoping review on artificial intelligence performance in emergency care and education. Turkish Journal of Emergency Medicine 2025;25(2):67 View