Artificial Intelligence–Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study

BACKGROUND: Surgical site infection (SSI) is one of the most common types of health care–associated infections. It increases mortality, prolongs hospital length of stay, and raises health care costs. Many institutions developed risk assessment models for SSI to help surgeons preoperatively identify...

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Detalles Bibliográficos
Autores principales: Chen, Weijia, Lu, Zhijun, You, Lijue, Zhou, Lingling, Xu, Jie, Chen, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325005/
https://www.ncbi.nlm.nih.gov/pubmed/32538798
http://dx.doi.org/10.2196/18186

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325005/
https://www.ncbi.nlm.nih.gov/pubmed/32538798
http://dx.doi.org/10.2196/18186

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