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New advances in prediction and surveillance of preeclampsia: role of machine learning approaches and remote monitoring
Preeclampsia, a multisystem disorder in pregnancy, is still one of the main causes of maternal morbidity and mortality. Due to a lack of a causative therapy, an accurate prediction of women at risk for the disease and its associated adverse outcomes is of utmost importance to tailor care. In the pas...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790089/ https://www.ncbi.nlm.nih.gov/pubmed/36566477 http://dx.doi.org/10.1007/s00404-022-06864-y |