LEVERAGING ELECTRONIC HEALTH RECORD DATA TO IDENTIFY PHENOTYPES ASSOCIATED WITH PREGNANCY LOSS MAY LEAD TO IMPROVED UNDERSTANDING OF RECURRENT PREGNANCY LOSS

MLA

Jacquelyn Roger, et al. “Leveraging Electronic Health Record Data to Identify Phenotypes Associated with Pregnancy Loss May Lead to Improved Understanding of Recurrent Pregnancy Loss.” Fertility and Sterility, vol. 118, Oct. 2022, p. e107. EBSCOhost, https://doi.org/10.1016/j.fertnstert.2022.08.323.

APA

Jacquelyn Roger, Alice Tang, Sarah Woldemariam, Tomiko Oskotsky, Timothy Wen, Jay Liu, Idit Kosti, Brian Le, Hakan Cakmak, Michael Snyder, Nima Aghaeepour, Gary Shaw, David Stevenson, Linda C. Giudice, Maria Glymour, Aleksandar Rajkovic, Ruth Bunker Lathi, & Marina Sirota. (2022). Leveraging Electronic Health Record Data to Identify Phenotypes Associated with Pregnancy Loss May Lead to Improved Understanding of Recurrent Pregnancy Loss. Fertility and Sterility, 118, e107. https://doi.org/10.1016/j.fertnstert.2022.08.323

Chicago

Jacquelyn Roger, Alice Tang, Sarah Woldemariam, Tomiko Oskotsky, Timothy Wen, Jay Liu, Idit Kosti, et al. 2022. “Leveraging Electronic Health Record Data to Identify Phenotypes Associated with Pregnancy Loss May Lead to Improved Understanding of Recurrent Pregnancy Loss.” Fertility and Sterility 118 (October): e107. doi:10.1016/j.fertnstert.2022.08.323.