Cargando…
Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records
OBJECTIVE: Postpartum hemorrhage (PPH) remains a leading cause of preventable maternal mortality in the United States. We sought to develop a novel risk assessment tool and compare its accuracy to tools used in current practice. MATERIALS AND METHODS: We used a PPH digital phenotype that we develope...
Autores principales: | Zheutlin, Amanda B, Vieira, Luciana, Shewcraft, Ryan A, Li, Shilong, Wang, Zichen, Schadt, Emilio, Gross, Susan, Dolan, Siobhan M, Stone, Joanne, Schadt, Eric, Li, Li |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8757294/ https://www.ncbi.nlm.nih.gov/pubmed/34405866 http://dx.doi.org/10.1093/jamia/ocab161 |
Ejemplares similares
-
A comprehensive digital phenotype for postpartum hemorrhage
por: Zheutlin, Amanda B, et al.
Publicado: (2021) -
Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data
por: Li, Shilong, et al.
Publicado: (2022) -
Late preterm antenatal corticosteroids in singleton and twin gestations: a retrospective cohort study
por: Vieira, Luciana A., et al.
Publicado: (2022) -
Predicting hypertension onset from longitudinal electronic health records with deep learning
por: Datta, Suparno, et al.
Publicado: (2022) -
Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records
por: Wang, Zichen, et al.
Publicado: (2020)