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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...
Autores principales: | Cascella, Marco, Racca, Emanuela, Nappi, Anna, Coluccia, Sergio, Maione, Sabatino, Luongo, Livio, Guida, Francesca, Avallone, Antonio, Cuomo, Arturo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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