Artificial neural network classification of pharyngeal high-resolution manometry with impedance data.
Objectives/hypothesis: 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.Methods: Multilayer perceptr...
| Publicado en: | Laryngoscope Vol. 123; no. 3; pp. 713 - 721 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
Mar2013
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| Acceso en línea: | Ver este registro en EBSCOhost |