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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


An analysis of performance bottlenecks in MRI preprocessing

Author(s): Dugré M; Chatelain Y; Glatard T;

Magnetic resonance imaging (MRI) preprocessing is a critical step for neuroimaging analysis. However, the computational cost of MRI preprocessing pipelines is a major bottleneck for large cohort studies and some clinical applications. While high-performance computing and, more recently, deep learning have been adopted to accelerate the computations, these ...

Article GUID: 40072903


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