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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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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2012
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| Предметы: | |
| Online-ссылка: | 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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