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...

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Detalles Bibliográficos
Autores principales: Yang, Jianhua, He, Jianfeng, Zhang, Hongjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
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

Internet

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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