Risk predictions of hospital‐acquired pressure injury in the intensive care unit based on a machine learning algorithm

Pressure injury (PI), or local damage to soft tissues and skin caused by prolonged pressure, remains controversial in the medical world. Patients in intensive care units (ICUs) were frequently reported to suffer PIs, with a heavy burden on their life and expenditures. Machine learning (ML) is a Sect...

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Detalles Bibliográficos
Autores principales: Tehrany, Pooya M., Zabihi, Mohammad Reza, Ghorbani Vajargah, Pooyan, Tamimi, Pegah, Ghaderi, Aliasghar, Norouzkhani, Narges, Zaboli Mahdiabadi, Morteza, Karkhah, Samad, Akhoondian, Mohammad, Farzan, Ramyar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588304/
https://www.ncbi.nlm.nih.gov/pubmed/37312659
http://dx.doi.org/10.1111/iwj.14275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588304/
https://www.ncbi.nlm.nih.gov/pubmed/37312659
http://dx.doi.org/10.1111/iwj.14275

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