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Readmission prediction via deep contextual embedding of clinical concepts
OBJECTIVE: Hospital readmission costs a lot of money every year. Many hospital readmissions are avoidable, and excessive hospital readmissions could also be harmful to the patients. Accurate prediction of hospital readmission can effectively help reduce the readmission risk. However, the complex rel...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5890980/ https://ncbi.nlm.nih.gov/pubmed/29630604 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0195024 |
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