Automating venous thromboembolism risk assessment: a dual-branch deep learning method using electronic medical records

Automating venous thromboembolism risk assessment: a dual-branch deep learning method using electronic medical records

BackgroundVenous 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 assess...

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Bibliographic Details
Main Authors: Jianhua Yang, Jianfeng He, Hongjiang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Medicine
Subjects:
venous thromboembolism
deep learning
electronic medical record
intelligent assessment
Padua
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1237616/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1237616/full

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