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Web Application for the Automated Extraction of Diagnosis and Site From Pathology Reports for Keratinocyte Cancers
PURPOSE: Keratinocyte cancers are exceedingly common in high-risk populations, but accurate measures of incidence are seldom derived because the burden of manually reviewing pathology reports to extract relevant diagnostic information is excessive. Thus, we sought to develop supervised learning algo...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Society of Clinical Oncology
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7469600/ https://www.ncbi.nlm.nih.gov/pubmed/32755460 http://dx.doi.org/10.1200/CCI.19.00152 |