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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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| I publikationen: | EGEMS (Wash DC) |
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| Huvudupphovsmän: | , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Ubiquity Press
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6706996/ https://ncbi.nlm.nih.gov/pubmed/31497615 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5334/egems.297 |
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