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

Internet

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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