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Detection of Clinically Important Colorectal Surgical Site Infection using Bayesian Network
BACKGROUND: Despite extensive efforts to monitor and prevent surgical site infections (SSIs), real-time surveillance of clinical practice has been sparse and expensive or non-existent. However, natural language processing (NLP) and machine learning (i.e., Bayesian network analysis) may provide the m...
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| Publicado no: | J Surg Res |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5391146/ https://ncbi.nlm.nih.gov/pubmed/28032554 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jss.2016.09.058 |
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