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Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence

BACKGROUND: Hospital-acquired pressure injuries (PIs) induce significant patient suffering, inflate healthcare costs, and increase clinical co-morbidities. PIs are mostly due to bed-immobility, sensory impairment, bed positioning, and length of hospital stay. In this study, we use electronic health...

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Detalles Bibliográficos
Autores principales:	Anderson, Christine, Bekele, Zerihun, Qiu, Yongkai, Tschannen, Dana, Dinov, Ivo D.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2021
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406893/ https://www.ncbi.nlm.nih.gov/pubmed/34461876 http://dx.doi.org/10.1186/s12911-021-01608-5

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