Using Natural Language Processing to Improve Discrete Data Capture From Interpretive Cervical Biopsy Diagnoses at a Large Health Care Organization.
* Context.--The terminology used by pathologists to describe and grade dysplasia and premalignant changes of the cervical epithelium has evolved over time. Unfortunately, coexistence of different classification systems combined with nonstandardized interpretive text has created multiple layers of in...
| Publicado en: | Archives of Pathology & Laboratory Medicine Vol. 147; no. 2; pp. 222 - 227 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
College of American Pathologists
Feb2023
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| Acceso en línea: | Ver este registro en EBSCOhost |