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

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 prediction task...

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Detalles Bibliográficos
Autores principales: AlSaad, Rawan, Malluhi, Qutaibah, Janahi, Ibrahim, Boughorbel, Sabri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842261/
https://www.ncbi.nlm.nih.gov/pubmed/31703676
http://dx.doi.org/10.1186/s12911-019-0951-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842261/
https://www.ncbi.nlm.nih.gov/pubmed/31703676
http://dx.doi.org/10.1186/s12911-019-0951-4

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