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An interpretable risk prediction model for healthcare with pattern attention
BACKGROUND: The availability of massive amount of data enables the possibility of clinical predictive tasks. Deep learning methods have achieved promising performance on the tasks. However, most existing methods suffer from three limitations: (1) There are lots of missing value for real value events...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772928/ https://www.ncbi.nlm.nih.gov/pubmed/33380322 http://dx.doi.org/10.1186/s12911-020-01331-7 |