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Identifying primary and recurrent cancers using a SAS-based natural language processing algorithm
OBJECTIVE: Significant limitations exist in the timely and complete identification of primary and recurrent cancers for clinical and epidemiologic research. A SAS-based coding, extraction, and nomenclature tool (SCENT) was developed to address this problem. MATERIALS AND METHODS: SCENT employs hiera...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BMJ Group
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3638182/ https://ncbi.nlm.nih.gov/pubmed/22822041 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2012-000928 |
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