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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| 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 |