An Interpretable Early Dynamic Sequential Predictor for Sepsis-Induced Coagulopathy Progression in the Real-World Using Machine Learning
Sepsis-associated coagulation dysfunction greatly increases the mortality of sepsis. Irregular clinical time-series data remains a major challenge for AI medical applications. To early detect and manage sepsis-induced coagulopathy (SIC) and sepsis-associated disseminated intravascular coagulation (D...
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Auteurs principaux: | , , , , , , , , , , , , |
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Format: | article |
Langue: | EN |
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Frontiers Media S.A.
2021
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Accès en ligne: | https://doaj.org/article/2d7495b4717845858bc66a17cab36f98 |
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