Cite
Identification of Hypertension in Electronic Health Records Through Computable Phenotype Development and Validation for Use in Public Health Surveillance: Retrospective Study.
MLA
Valvi, Nimish, et al. “Identification of Hypertension in Electronic Health Records Through Computable Phenotype Development and Validation for Use in Public Health Surveillance: Retrospective Study.” JMIR Formative Research, vol. 7, Dec. 2023, p. e46413. EBSCOhost, https://doi.org/10.2196/46413.
APA
Valvi, N., McFarlane, T., Allen, K. S., Gibson, P. J., & Dixon, B. E. (2023). Identification of Hypertension in Electronic Health Records Through Computable Phenotype Development and Validation for Use in Public Health Surveillance: Retrospective Study. JMIR Formative Research, 7, e46413. https://doi.org/10.2196/46413
Chicago
Valvi, Nimish, Timothy McFarlane, Katie S Allen, P Joseph Gibson, and Brian Edward Dixon. 2023. “Identification of Hypertension in Electronic Health Records Through Computable Phenotype Development and Validation for Use in Public Health Surveillance: Retrospective Study.” JMIR Formative Research 7 (December): e46413. doi:10.2196/46413.