An interpretable DIC risk prediction model based on convolutional neural networks with time series data

Disseminated intravascular coagulation (DIC) is a complex, life-threatening syndrome associated with the end-stage of different coagulation disorders. Early prediction of the risk of DIC development is an urgent clinical need to reduce adverse outcomes. However, effective approaches and models to id...

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Detalles Bibliográficos
Autores principales: Yang, Hao, Li, Jiaxi, Liu, Siru, Zhang, Mengjiao, Liu, Jialin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644626/
https://www.ncbi.nlm.nih.gov/pubmed/36348301
http://dx.doi.org/10.1186/s12859-022-05004-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644626/
https://www.ncbi.nlm.nih.gov/pubmed/36348301
http://dx.doi.org/10.1186/s12859-022-05004-2

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