Bayesian Network Analysis for Prediction of Unplanned Hospital Readmissions of Cancer Patients with Breakthrough Cancer Pain and Complex Care Needs

Background: Unplanned hospital readmissions (HRAs) are very common in cancer patients. These events can potentially impair the patients’ health-related quality of life and increase cancer care costs. In this study, data-driven prediction models were developed for identifying patients at a higher ris...

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Detalles Bibliográficos
Autores principales: Cascella, Marco, Racca, Emanuela, Nappi, Anna, Coluccia, Sergio, Maione, Sabatino, Luongo, Livio, Guida, Francesca, Avallone, Antonio, Cuomo, Arturo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601725/
https://www.ncbi.nlm.nih.gov/pubmed/36292299
http://dx.doi.org/10.3390/healthcare10101853

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601725/
https://www.ncbi.nlm.nih.gov/pubmed/36292299
http://dx.doi.org/10.3390/healthcare10101853

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