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

Theme Issue: Medical Informatics and COVID-19 (107) Clinical Information and Decision Making (1407) JMIR Theme Issue: COVID-19 Special Issue (2452) Knowledge Translation and Implementation Science (398) Decision Support for Health Professionals (1185) Electronic Health Records (1053) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21628, first published .
A Computer-Interpretable Guideline for COVID-19: Rapid Development and Dissemination

A Computer-Interpretable Guideline for COVID-19: Rapid Development and Dissemination

A Computer-Interpretable Guideline for COVID-19: Rapid Development and Dissemination

Authors of this article:

Shan Nan1, 2 Author Orcid Image ;   Tianhua Tang1 Author Orcid Image ;   Hongshuo Feng1 Author Orcid Image ;   Yijie Wang3 Author Orcid Image ;   Mengyang Li1 Author Orcid Image ;   Xudong Lu1, 2 Author Orcid Image ;   Huilong Duan1 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

Journals

  1. Sudat S, Robinson S, Mudiganti S, Mani A, Pressman A. Mind the clinical-analytic gap: Electronic health records and COVID-19 pandemic response. Journal of Biomedical Informatics 2021;116:103715 View
  2. Tolmachev I, Kaverina I, Vrazhnov D, Starikov I, Starikova E, Kostuchenko E. Application of Artificial Intelligence Methods Depending on the Tasks Solved during COVID-19 Pandemic. COVID 2022;2(10):1341 View