Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.

MLA

Teixeira, Pedro L., et al. “Evaluating Electronic Health Record Data Sources and Algorithmic Approaches to Identify Hypertensive Individuals.” Journal of the American Medical Informatics Association : JAMIA, vol. 24, no. 1, Jan. 2017, pp. 162–71. EBSCOhost, https://doi.org/10.1093/jamia/ocw071.

APA

Teixeira, P. L., Wei, W.-Q., Cronin, R. M., Mo, H., VanHouten, J. P., Carroll, R. J., LaRose, E., Bastarache, L. A., Rosenbloom, S. T., Edwards, T. L., Roden, D. M., Lasko, T. A., Dart, R. A., Nikolai, A. M., Peissig, P. L., & Denny, J. C. (2017). Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. Journal of the American Medical Informatics Association : JAMIA, 24(1), 162–171. https://doi.org/10.1093/jamia/ocw071

Chicago

Teixeira, Pedro L, Wei-Qi Wei, Robert M Cronin, Huan Mo, Jacob P VanHouten, Robert J Carroll, Eric LaRose, et al. 2017. “Evaluating Electronic Health Record Data Sources and Algorithmic Approaches to Identify Hypertensive Individuals.” Journal of the American Medical Informatics Association : JAMIA 24 (1): 162–71. doi:10.1093/jamia/ocw071.