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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Detalles Bibliográficos
Autores principales: Liu, Wenshuo, Stansbury, Cooper, Singh, Karandeep, Ryan, Andrew M., Sukul, Devraj, Mahmoudi, Elham, Waljee, Akbar, Zhu, Ji, Nallamothu, Brahmajee K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7159221/
https://www.ncbi.nlm.nih.gov/pubmed/32294087
http://dx.doi.org/10.1371/journal.pone.0221606

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7159221/
https://www.ncbi.nlm.nih.gov/pubmed/32294087
http://dx.doi.org/10.1371/journal.pone.0221606

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