Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data
Abstract 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 i...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
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Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/f6e5f1a2356849fd9a78f78113584b38 |
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