Development and validation of machine learning models for venous thromboembolism risk assessment at admission: a retrospective study

INTRODUCTION: Venous thromboembolism (VTE) risk assessment at admission is of great importance for early screening and timely prophylaxis and management during hospitalization. The purpose of this study is to develop and validate novel risk assessment models at admission based on machine learning (M...

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Detalles Bibliográficos
Autores principales: Sheng, Wenbo, Wang, Xiaoli, Xu, Wenxiang, Hao, Zedong, Ma, Handong, Zhang, Shaodian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497101/
https://www.ncbi.nlm.nih.gov/pubmed/37705687
http://dx.doi.org/10.3389/fcvm.2023.1198526

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497101/
https://www.ncbi.nlm.nih.gov/pubmed/37705687
http://dx.doi.org/10.3389/fcvm.2023.1198526

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