Using SAM to Model the Prevalence of Preeclampsia, its Risk Factors, and Mortality

dc.contributorPrice, Daniel M.
dc.contributor.authorShawareb, Layla
dc.date.accessioned2021-02-24T22:57:36Z
dc.date.available2021-02-24T22:57:36Z
dc.date.issued2019
dc.description.abstractTo help address the specific maternal health issue of Preeclampsia, I had the goal of modeling a visual representation risk factors for this health condition using a simulation and secondary research. Some of the most important risk factors for Preeclampsia include chronic hypertension prior to or during pregnancy, previous history of preeclampsia or family history of preeclampsia, multiple pregnancies, race (especially Black and Asian women), lack of prenatal care, and advanced maternal age[3]. We can draw attention to the issue of maternal health and maternal mortality by creating this simulation.
dc.description.departmentCivil and Environmental Engineering, Department of
dc.description.departmentHonors College
dc.identifier.urihttps://hdl.handle.net/10657/7642
dc.language.isoen_US
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.titleUsing SAM to Model the Prevalence of Preeclampsia, its Risk Factors, and Mortality
dc.typePoster

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