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Artificial neural network classification of pharyngeal high-resolution manometry with impedance data
PURPOSE: To use classification algorithms to classify swallows as safe, penetration, or aspiration based on measurements obtained from pharyngeal high-resolution manometry (HRM) with impedance. STUDY DESIGN: Case series evaluating new method of data analysis. METHOD: Multilayer perceptron (MLP), an...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3648989/ https://ncbi.nlm.nih.gov/pubmed/23070810 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/lary.23655 |
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