Comparing information extraction techniques for low-prevalence concepts: The case of insulin rejection by patients.

Objective: To comparatively evaluate a range of Natural Language Processing (NLP) approaches for Information Extraction (IE) of low-prevalence concepts in clinical notes on the example of decline of insulin therapy recommendation by patients.Materials and Methods: We evaluated the accuracy of detect...

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Detalles Bibliográficos
Publicado en:Journal of Biomedical Informatics Vol. 99
Autores principales: Malmasi, Shervin, Ge, Wendong, Hosomura, Naoshi, Turchin, Alexander
Formato: Journal Article
Publicado: Academic Press Inc. Nov2019
Acceso en línea:Ver este registro en EBSCOhost