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

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

Abstract 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 mod...

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Bibliographic Details
Main Authors: Hao Yang, Jiaxi Li, Siru Liu, Mengjiao Zhang, Jialin Liu
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Bioinformatics
Subjects:
Disseminated intravascular coagulation
Prediction
Machine learning
Online Access:https://doi.org/10.1186/s12859-022-05004-2

Internet

https://doi.org/10.1186/s12859-022-05004-2

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