The prediction of hospital length of stay using unstructured data

OBJECTIVE: This study aimed to assess the performance improvement for machine learning-based hospital length of stay (LOS) predictions when clinical signs written in text are accounted for and compared to the traditional approach of solely considering structured information such as age, gender and m...

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Detalles Bibliográficos
Autores principales: Chrusciel, Jan, Girardon, François, Roquette, Lucien, Laplanche, David, Duclos, Antoine, Sanchez, Stéphane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684269/
https://www.ncbi.nlm.nih.gov/pubmed/34922532
http://dx.doi.org/10.1186/s12911-021-01722-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684269/
https://www.ncbi.nlm.nih.gov/pubmed/34922532
http://dx.doi.org/10.1186/s12911-021-01722-4

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