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...

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Detalles Bibliográficos
Autores principales: Wang, Kevin Y., Ikwuezunma, Ijezie, Puvanesarajah, Varun, Babu, Jacob, Margalit, Adam, Raad, Micheal, Jain, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Articles
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

Internet

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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