O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies

Abstract Background Oxygen saturation, a key indicator of COVID-19 severity, poses challenges, especially in cases of silent hypoxemia. Electronic health records (EHRs) often contain supplemental oxygen information within clinical narratives. Streamlining patient identification based on oxygen level...

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發表在:	BMC Medical Informatics and Decision Making
Main Authors:	Akhila Abdulnazar, Amila Kugic, Stefan Schulz, Vanessa Stadlbauer, Markus Kreuzthaler
格式:	Article
語言:	英语
出版:	BMC 2024-01-01
主題:	Natural language processing Machine learning Deep learning Electronic health records COVID-19
在線閱讀:	https://doi.org/10.1186/s12911-024-02425-2