Predicting the Development of Surgery-Related Pressure Injury Using a Machine Learning Algorithm Model

BACKGROUND: Surgery-related pressure injury (SRPI) is a serious problem in patients who undergo cardiovascular surgery. Identifying patients at a high risk of SRPI is important for clinicians to recognize and prevent it expeditiously. Machine learning (ML) has been widely used in the field of health...

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Detalles Bibliográficos
Autores principales: CAI, Ji-Yu, ZHA, Man-Li, SONG, Yi-Ping, CHEN, Hong-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808354/
https://www.ncbi.nlm.nih.gov/pubmed/33351552
http://dx.doi.org/10.1097/JNR.0000000000000411

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808354/
https://www.ncbi.nlm.nih.gov/pubmed/33351552
http://dx.doi.org/10.1097/JNR.0000000000000411

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