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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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Detalhes bibliográficos
Publicado no:J Vasc Surg
Main Authors: Afzal, Naveed, Sohn, Sunghwan, Abram, Sara, Scott, Christopher G., Chaudhry, Rajeev, Liu, Hongfang, Kullo, Iftikhar J., Arruda-Olson, Adelaide M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
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Acesso em linha: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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