Using Supervised Learning Methods to Develop a List of Prescription Medications of Greatest Concern during Pregnancy
Author(s) -
Elizabeth C. Ailes,
John Zimmerman,
Jennifer N. Lind,
Fanghui Fan,
Kun Shi,
Jennita Reefhuis,
Cheryl S. Broussard,
Meghan Frey,
Janet D. Cragan,
Emily E. Petersen,
Kara D. Polen,
Margaret A. Honein,
Suzanne M. Gilboa
Publication year - 2020
Publication title -
maternal and child health journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1
H-Index - 85
eISSN - 1573-6628
pISSN - 1092-7875
DOI - 10.1007/s10995-020-02942-2
Subject(s) - medicine , medical prescription , pregnancy , public health , family medicine , nursing , biology , genetics
Women and healthcare providers lack adequate information on medication safety during pregnancy. While resources describing fetal risk are available, information is provided in multiple locations, often with subjective assessments of available data. We developed a list of medications of greatest concern during pregnancy to help healthcare providers counsel reproductive-aged and pregnant women.
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