Cargando…
Predicting unplanned readmission due to cardiovascular disease in hospitalized patients with cancer: a machine learning approach
Cardiovascular disease (CVD) in cancer patients can affect the risk of unplanned readmissions, which have been reported to be costly and associated with worse mortality and prognosis. We aimed to demonstrate the feasibility of using machine learning techniques in predicting the risk of unplanned 180...
Autores principales: | Han, Sola, Sohn, Ted J., Ng, Boon Peng, Park, Chanhyun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439193/ https://www.ncbi.nlm.nih.gov/pubmed/37596346 http://dx.doi.org/10.1038/s41598-023-40552-4 |
Ejemplares similares
-
Machine learning prediction of postoperative unplanned 30-day hospital readmission in older adult
por: Li, Linji, et al.
Publicado: (2022) -
Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms
por: Lo, Yu-Tai, et al.
Publicado: (2021) -
Correction to: Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms
por: Lo, Yu-Tai, et al.
Publicado: (2022) -
Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients
por: Welvaars, Koen, et al.
Publicado: (2023) -
Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach
por: Desautels, Thomas, et al.
Publicado: (2017)