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Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data
Mortality remains an exceptional burden of extremely preterm birth. Current clinical mortality prediction scores are calculated using a few static variable measurements, such as gestational age, birth weight, temperature, and blood pressure at admission. While these models do provide some insight, n...
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| I publikationen: | NPJ Digit Med |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Nature Publishing Group UK
2021
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8280207/ https://ncbi.nlm.nih.gov/pubmed/34262112 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-021-00479-4 |
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