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Predicting 30-day hospital readmissions using artificial neural networks with medical code embedding
Reducing unplanned readmissions is a major focus of current hospital quality efforts. In order to avoid unfair penalization, administrators and policymakers use prediction models to adjust for the performance of hospitals from healthcare claims data. Regression-based models are a commonly utilized m...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7159221/ https://ncbi.nlm.nih.gov/pubmed/32294087 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0221606 |
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