Cargando…
Incorporating medical code descriptions for diagnosis prediction in healthcare
BACKGROUND: Diagnosis aims to predict the future health status of patients according to their historical electronic health records (EHR), which is an important yet challenging task in healthcare informatics. Existing diagnosis prediction approaches mainly employ recurrent neural networks (RNN) with...
Autores principales: | Ma, Fenglong, Wang, Yaqing, Xiao, Houping, Yuan, Ye, Chitta, Radha, Zhou, Jing, Gao, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921390/ https://www.ncbi.nlm.nih.gov/pubmed/31856806 http://dx.doi.org/10.1186/s12911-019-0961-2 |
Ejemplares similares
-
A hybrid self-attention deep learning framework for multivariate sleep stage classification
por: Yuan, Ye, et al.
Publicado: (2019) -
The incorporation of global healthcare teaching into the core medical school curriculum
por: Parepalli, Sai Arathi, et al.
Publicado: (2021) -
Use of ICD-10 diagnosis codes to identify seropositive and seronegative rheumatoid arthritis when lab results are not available
por: Curtis, Jeffrey R., et al.
Publicado: (2020) -
Applying Deep Learning Model to Predict Diagnosis Code of Medical Records
por: Masud, Jakir Hossain Bhuiyan, et al.
Publicado: (2023) -
Additions to the review of Chinese Enochrus, with description of a new species (Coleoptera, Hydrophilidae, Enochrinae)
por: Jia, Fenglong, et al.
Publicado: (2015)