Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notes

Machine learning has been suggested as a means of identifying individuals at greatest risk for hospital readmission, including psychiatric readmission. We sought to compare the performance of predictive models that use interpretable representations derived via topic modeling to the performance of hu...

Descripción completa

Detalles Bibliográficos
Autores principales: Boag, William, Kovaleva, Olga, McCoy, Thomas H., Rumshisky, Anna, Szolovits, Peter, Perlis, Roy H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801508/
https://www.ncbi.nlm.nih.gov/pubmed/33431794
http://dx.doi.org/10.1038/s41398-020-01104-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801508/
https://www.ncbi.nlm.nih.gov/pubmed/33431794
http://dx.doi.org/10.1038/s41398-020-01104-w

Ejemplares similares