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Preprocessing narrative texts in electronic medical records to identify hospital adverse events: A scoping review

Author(s): Jafarpour H; Wu G; Cheligeer CK; Yan J; Xu Y; Southern DA; Eastwood CA; Zeng Y; Quan H;

Background: Narrative electronic medical records (EMR), which include textual notes created by clinicians within healthcare environments, represent a significant resource for documenting various facets of patient care. This form of text exhibits distinctive characteristics, such as the occurrence of grammatically incorrect sentences, abbreviations, freque ...

Article GUID: 41072367


A novel span and syntax enhanced large language model based framework for fine-grained sentiment analysis

Author(s): Zou H; Wang Y; Huang A;

Fine-grained aspect-based sentiment analysis requires language models to identify aspect entities and the corresponding sentiment information in the input text content. Transformer-based pre-trained large language models have demonstrated remarkable performance on various challenging natural language processing tasks. However, large language models face l ...

Article GUID: 40876298


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