Cargando…
Using Machine Learning to Predict Surgical Site Infection After Lumbar Spine Surgery
OBJECTIVE: The objective of this study was to utilize machine learning techniques to analyze perioperative factors and identify blood glucose levels that can predict the occurrence of surgical site infection following posterior lumbar spinal surgery. METHODS: A total of 4019 patients receiving lumba...
Autores principales: | Chen, Tianyou, Liu, Chong, Zhang, Zide, Liang, Tuo, Zhu, Jichong, Zhou, Chenxing, Wu, Shaofeng, Yao, Yuanlin, Huang, Chengqian, Zhang, Bin, Feng, Sitan, Wang, Zequn, Huang, Shengsheng, Sun, Xuhua, Chen, Liyi, Zhan, Xinli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423613/ https://www.ncbi.nlm.nih.gov/pubmed/37581167 http://dx.doi.org/10.2147/IDR.S417431 |
Ejemplares similares
-
Immune cell infiltration-related clinical diagnostic model for Ankylosing Spondylitis
por: Zhou, Chenxing, et al.
Publicado: (2022) -
Identification of spinal tuberculosis subphenotypes using routine clinical data: a study based on unsupervised machine learning
por: Yao, Yuanlin, et al.
Publicado: (2023) -
Machine learning-based clustering in cervical spondylotic myelopathy patients to identify heterogeneous clinical characteristics
por: Zhou, Chenxing, et al.
Publicado: (2022) -
Dysregulation of SAA1, TUBA8 and Monocytes Are Key Factors in Ankylosing Spondylitis With Femoral Head Necrosis
por: Jiang, Jie, et al.
Publicado: (2022) -
Upregulated of ANXA3, SORL1, and Neutrophils May Be Key Factors in the Progressionof Ankylosing Spondylitis
por: Jiang, Jie, et al.
Publicado: (2022)