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Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record

Published Online: 2019-12-30

Published Print: 2019-12

Authors

Jamian, Lia

Wheless, Lee

Crofford, Leslie J.

Barnado, April http://orcid.org/0000-0002-9573-4335
Funding

Funding for this research was provided by:

National Institute of Child Health and Human Development (NICHD 5K12HD043483-12)

National Institute of Arthritis and Musculoskeletal and Skin Diseases (1 K08AR072757-01)

National Center for Research Resources (UL1 RR024975)

National Center for Advancing Translational Sciences (ULTR000445)
License Information

Text and Data Mining valid from 2019-12-01

Version of Record valid from 2019-12-30
More Information

Article History

Received: 17 August 2019

Accepted: 18 December 2019

First Online: 30 December 2019

Ethics approval and consent to participate

: Approval was obtained from the Institutional Review Board of Vanderbilt University Medical Center. As de-identified data was used, research was classified as non-human subject research, and informed consent was waived.

: Not applicable

: The authors declare that they have no competing interests.

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