Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning model

BACKGROUND: Venous thromboembolism (VTE) is a common complication of hospitalized trauma patients and has an adverse impact on patient outcomes. However, there is still a lack of appropriate tools for effectively predicting VTE for trauma patients. We try to verify the accuracy of the Caprini score...

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Detalles Bibliográficos
Autores principales: He, Lingxiao, Luo, Lei, Hou, Xiaoling, Liao, Dengbin, Liu, Ran, Ouyang, Chaowei, Wang, Guanglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111727/
https://www.ncbi.nlm.nih.gov/pubmed/33971809
http://dx.doi.org/10.1186/s12873-021-00447-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111727/
https://www.ncbi.nlm.nih.gov/pubmed/33971809
http://dx.doi.org/10.1186/s12873-021-00447-x

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