Predicting the Incidence of Pressure Ulcers in the Intensive Care Unit Using Machine Learning

BACKGROUND: Reducing hospital-acquired pressure ulcers (PUs) in intensive care units (ICUs) has emerged as an important quality metric for health systems internationally. Limited work has been done to characterize the profile of PUs in the ICU using observational data from the electronic health reco...

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Detalles Bibliográficos
Autores principales: Cramer, Eric M., Seneviratne, Martin G., Sharifi, Husham, Ozturk, Alp, Hernandez-Boussard, Tina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2019
Materias:
Empirical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6729106/
https://www.ncbi.nlm.nih.gov/pubmed/31534981
http://dx.doi.org/10.5334/egems.307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6729106/
https://www.ncbi.nlm.nih.gov/pubmed/31534981
http://dx.doi.org/10.5334/egems.307

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