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Using Predictive Modeling and Supervised Machine Learning to Identify Patients at Risk for Venous Thromboembolism Following Posterior Lumbar Fusion
STUDY DESIGN: Retrospective review. OBJECTIVE: To use predictive modeling and machine learning to identify patients at risk for venous thromboembolism (VTE) following posterior lumbar fusion (PLF) for degenerative spinal pathology. METHODS: Patients undergoing single-level PLF in the inpatient setti...
Autores principales: | Wang, Kevin Y., Ikwuezunma, Ijezie, Puvanesarajah, Varun, Babu, Jacob, Margalit, Adam, Raad, Micheal, Jain, Amit |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189318/ https://www.ncbi.nlm.nih.gov/pubmed/34036817 http://dx.doi.org/10.1177/21925682211019361 |
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