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Automating venous thromboembolism risk assessment: a dual-branch deep learning method using electronic medical records
BACKGROUND: Venous thromboembolism (VTE) is a prevalent cardiovascular disease. Although risk assessment and preventive measures are effective, manual assessment is inefficient and covers a small population in clinical practice. Hence, it is necessary to explore intelligent methods for VTE risk asse...
Autores principales: | Yang, Jianhua, He, Jianfeng, Zhang, Hongjiang |
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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/PMC10449249/ https://www.ncbi.nlm.nih.gov/pubmed/37636570 http://dx.doi.org/10.3389/fmed.2023.1237616 |
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