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Mining Peripheral Arterial Disease Cases from Narrative Clinical Notes Using Natural Language Processing
OBJECTIVE: Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects millions of individuals worldwide. We developed a natural language processing (NLP) system for automated ascertainment of PAD cases from clinical narrative notes and compared the performance of the NLP algor...
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| I publikationen: | J Vasc Surg |
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| Huvudupphovsmän: | , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5438905/ https://ncbi.nlm.nih.gov/pubmed/28189359 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jvs.2016.11.031 |
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