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

Theme Issue: Medical Informatics and COVID-19 (122) Clinical Information and Decision Making (1807) JMIR Theme Issue: COVID-19 Special Issue (2534) Knowledge Translation and Implementation Science (487) Decision Support for Health Professionals (1468) Electronic Health Records (1271) Infectious Diseases (non-STD/STI) (1700) Outbreak and Pandemic Preparedness and Management (1811) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1539)

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 (1) 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

Conference Proceedings

  1. Xu X, Qin L, Li Z, Li J. 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI). Developing an Interpretable Etiology Classification Model for Ischemic Stroke Based on Chinese Clinical Practice Guideline View