PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks

PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks

Abstract Background Early identification of pregnant women at risk for preterm birth (PTB), a major cause of infant mortality and morbidity, has a significant potential to improve prenatal care. However, we lack effective predictive models which can accurately forecast PTB and complement these predi...

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Bibliographic Details
Main Authors: Rawan AlSaad, Qutaibah Malluhi, Sabri Boughorbel
Format: Article
Language:English
Published: BMC 2022-02-01
Series:BioData Mining
Subjects:
Deep learning
Predictive models
Attention mechanism
Electronic health record
Preterm birth
Pregnancy
Online Access:https://doi.org/10.1186/s13040-022-00289-8

Internet

https://doi.org/10.1186/s13040-022-00289-8

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