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

Formative Evaluation of Digital Health Interventions (2410) Electronic Health Records (1053) Pilot studies (ehealth) (206) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185)

Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31615, first published .
Performance of a Computational Phenotyping Algorithm for Sarcoidosis Using Diagnostic Codes in Electronic Medical Records: Case Validation Study From 2 Veterans Affairs Medical Centers

Performance of a Computational Phenotyping Algorithm for Sarcoidosis Using Diagnostic Codes in Electronic Medical Records: Case Validation Study From 2 Veterans Affairs Medical Centers

Performance of a Computational Phenotyping Algorithm for Sarcoidosis Using Diagnostic Codes in Electronic Medical Records: Case Validation Study From 2 Veterans Affairs Medical Centers

Authors of this article:

Mohamed I Seedahmed1, 2 Author Orcid Image ;   Izabella Mogilnicka2, 3 Author Orcid Image ;   Siyang Zeng2, 4 Author Orcid Image ;   Gang Luo4 Author Orcid Image ;   Mary A Whooley2, 5, 6 Author Orcid Image ;   Charles E McCulloch7 Author Orcid Image ;   Laura Koth1 Author Orcid Image ;   Mehrdad Arjomandi1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.