Seedahmed, M. I., Mogilnicka, I., Zeng, S., Luo, G., Whooley, M. A., McCulloch, C. E., . . . Arjomandi, M. (2022). Performance of a Computational Phenotyping Algorithm for Sarcoidosis Using Diagnostic Codes in Electronic Medical Records: Case Validation Study From 2 Veterans Affairs Medical Centers. JMIR formative research, 6(3), e31615. https://doi.org/10.2196/31615
Chicago Style (17th ed.) CitationSeedahmed, Mohamed I., Izabella Mogilnicka, Siyang Zeng, Gang Luo, Mary A. Whooley, Charles E. McCulloch, Laura Koth, and Mehrdad Arjomandi. "Performance of a Computational Phenotyping Algorithm for Sarcoidosis Using Diagnostic Codes in Electronic Medical Records: Case Validation Study From 2 Veterans Affairs Medical Centers." JMIR Formative Research 6, no. 3 (2022): e31615. https://doi.org/10.2196/31615.
MLA (9th ed.) CitationSeedahmed, Mohamed I., et al. "Performance of a Computational Phenotyping Algorithm for Sarcoidosis Using Diagnostic Codes in Electronic Medical Records: Case Validation Study From 2 Veterans Affairs Medical Centers." JMIR Formative Research, vol. 6, no. 3, 2022, p. e31615, https://doi.org/10.2196/31615.