Extracting Patient-Centered Outcomes from Clinical Notes in Electronic Health Records: Assessment of Urinary Incontinence After Radical Prostatectomy

OBJECTIVE: To assess documentation of urinary incontinence (UI) in prostatectomy patients using unstructured clinical notes from Electronic Health Records (EHRs). METHODS: We developed a weakly-supervised natural language processing tool to extract assessments, as recorded in unstructured text notes...

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Detalles Bibliográficos
Autores principales: Gori, Davide, Banerjee, Imon, Chung, Benjamin I., Ferrari, Michelle, Rucci, Paola, Blayney, Douglas W., Brooks, James D., Hernandez-Boussard, Tina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2019
Materias:
Empirical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706996/
https://www.ncbi.nlm.nih.gov/pubmed/31497615
http://dx.doi.org/10.5334/egems.297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706996/
https://www.ncbi.nlm.nih.gov/pubmed/31497615
http://dx.doi.org/10.5334/egems.297

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