Using multiple indicators to predict the risk of surgical site infection after ORIF of tibia fractures: a machine learning based study

OBJECTIVE: Surgical site infection (SSI) are a serious complication that can occur after open reduction and internal fixation (ORIF) of tibial fractures, leading to severe consequences. This study aimed to develop a machine learning (ML)-based predictive model to screen high-risk patients of SSI fol...

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Detalles Bibliográficos
Autores principales: Ying, Hui, Guo, Bo-Wen, Wu, Hai-Jian, Zhu, Rong-Ping, Liu, Wen-Cai, Zhong, Hong-Fa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cellular and Infection Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338008/
https://www.ncbi.nlm.nih.gov/pubmed/37448774
http://dx.doi.org/10.3389/fcimb.2023.1206393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338008/
https://www.ncbi.nlm.nih.gov/pubmed/37448774
http://dx.doi.org/10.3389/fcimb.2023.1206393

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