Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients

BACKGROUND: Unplanned hospital readmissions are serious medical adverse events, stressful to patients, and expensive for hospitals. This study aims to develop a probability calculator to predict unplanned readmissions (PURE) within 30-days after discharge from the department of Urology, and evaluate...

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Detalles Bibliográficos
Autores principales: Welvaars, Koen, van den Bekerom, Michel P. J., Doornberg, Job N., van Haarst, Ernst P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262129/
https://www.ncbi.nlm.nih.gov/pubmed/37312177
http://dx.doi.org/10.1186/s12911-023-02200-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262129/
https://www.ncbi.nlm.nih.gov/pubmed/37312177
http://dx.doi.org/10.1186/s12911-023-02200-9

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