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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
BACKGROUND: Early identification of pregnant women at risk for preterm birth (PTB), a major cause of infant mortality and morbidity, has a significant potential to improve prenatal care. However, we lack effective predictive models which can accurately forecast PTB and complement these predictions w...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842907/ https://www.ncbi.nlm.nih.gov/pubmed/35164820 http://dx.doi.org/10.1186/s13040-022-00289-8 |