Categorizing metadata to help mobilize computable biomedical knowledge-Reference-Cited by-同舟云学术

Categorizing metadata to help mobilize computable biomedical knowledge

Published:2021-05-09 Issue:1 Volume:6 Page:
ISSN:2379-6146
Container-title:Learning Health Systems
language:en
Short-container-title:Learning Health Systems

Author:

Alper Brian S.¹^ORCID,Flynn Allen²^ORCID,Bray Bruce E.³,Conte Marisa L.⁴^ORCID,Eldredge Christina⁵,Gold Sigfried⁶^ORCID,Greenes Robert A.⁷,Haug Peter⁸,Jacoby Kim⁹,Koru Gunes¹⁰^ORCID,McClay James¹¹^ORCID,Sainvil Marc L.¹²^ORCID,Sottara Davide¹²,Tuttle Mark¹³^ORCID,Visweswaran Shyam¹⁴^ORCID,Yurk Robin Ann¹⁵^ORCID

Affiliation:

1. Computable Publishing LLC Ipswich Massachusetts USA

2. Medical School University of Michigan Ann Arbor Michigan USA

3. Biomedical Informatics and Cardiovascular Medicine School of Medicine, University of Utah Salt Lake City Utah USA

4. Taubman Health Sciences Library, University of Michigan Ann Arbor Michigan USA

5. School of Information University of South Florida Tampa Florida USA

6. College of Information Studies University of Maryland College Park Maryland USA

7. Arizona State University and Mayo Clinic. Scottsdale Arizona USA

8. Intermountain Healthcare University of Utah Salt Lake City Utah USA

9. Komodo Health San Francisco California USA

10. Department of Information Systems University of Maryland Baltimore Maryland USA

11. Emergency Medicine University of Nebraska Medical Center Omaha Nebraska USA

12. Mayo Clinic Scottsdale Arizona USA

13. Apelon Hartford Connecticut USA

14. Department of Biomedical Informatics University of Pittsburgh Pittsburgh Pennsylvania USA

15. MDyurk West Bloomfield Michigan USA

Publisher

Wiley

Subject

Health Information Management,Public Health, Environmental and Occupational Health,Health Informatics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lrh2.10271

Reference73 articles.

1. Computable knowledge: An imperative for Learning Health Systems

2. Desiderata for sharable computable biomedical knowledge for learning health systems

3. ITU‐T Recommendation X.1255. Framework for discovery of identity management information. Approved on September 4 2013.http://handle.itu.int/11.1002/1000/11951. Accessed December 4 2020.

4. The FAIR Guiding Principles for scientific data management and stewardship

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