180 The role of social constructs in placental insufficiency outcomes: an unsupervised machine learning approach - 01/02/21
Doi : 10.1016/j.ajog.2020.12.202
Ramamurthy Siripuram 1, Nathan R. Blue 2, Robert M. Silver 3, William A. Grobman 4, Uma M. Reddy 5, David M. Haas 6, Hyagriv Simhan 7, Judith H. Chung 8, Brian M. Mercer 9, George R. Saade 10, Julio Facelli 1, Samir Abdelrahman 3
1 University of Utah, Department of Biomedical Informatics, Salt Lake City, UT
2 University of Utah Health, Dept. of OBGyn, Salt Lake City, UT
3 University of Utah Health, Salt Lake City, UT
4 Northwestern University Feinberg School of Medicine, Chicago, IL
5 Yale University School of Medicine, New Haven, CT
6 Indiana University Department of Obstetrics and Gynecology, Carmel, IN
7 University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, Pittsburgh, PA
8 University of California, Irvine, Orange, CA
9 CWRU- MetroHealth Medical Center, Cleveland, OH
10 University of Texas Medical Branch, Galveston, TX
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© 2020
Publié par Elsevier Masson SAS.
Vol 224 - N° 2S
P. S121-S122 - février 2021 Retour au numéro
Article précédent
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