Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2022

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Good Attention Score compared to outputs of the same age (65th percentile)
Good Attention Score compared to outputs of the same age and source (79th percentile)

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#NLP "Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods" https://t.co/whguPiL0kv

28 Sep 2022

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RT @RuoguFang: New Clinical-NLP paper published: Identify diabetic retinopathy-related clinical concepts and their attributes using transfo…

28 Sep 2022

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RT @RuoguFang: New Clinical-NLP paper published: Identify diabetic retinopathy-related clinical concepts and their attributes using transfo…

27 Sep 2022

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New Clinical-NLP paper published: Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods | BMC Medical Informatics and Decision Making. @UFBME @SkylarStolte @GiannaSweeting

27 Sep 2022

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