Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction

PURPOSE: Hospital readmission prediction uses historical patient visit data to train machine learning models to predict risk of patients being readmitted after the discharge. Data used to train models, such as patient demographics, disease types, localized distributions etc., play significant roles...

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Detalles Bibliográficos
Autores principales: Wang, Shuwen, Zhu, Xingquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9439279/
https://www.ncbi.nlm.nih.gov/pubmed/36065327
http://dx.doi.org/10.1007/s13755-022-00195-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9439279/
https://www.ncbi.nlm.nih.gov/pubmed/36065327
http://dx.doi.org/10.1007/s13755-022-00195-7

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