Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma

Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma

Abstract Background Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models have achieved state-of-the-art performance for many healthcare predict...

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Bibliographic Details
Main Authors: Rawan AlSaad, Qutaibah Malluhi, Ibrahim Janahi, Sabri Boughorbel
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Interpretability
Deep learning
Predictive models
Electronic health record
Online Access:http://link.springer.com/article/10.1186/s12911-019-0951-4

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http://link.springer.com/article/10.1186/s12911-019-0951-4

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