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This study developed a cluster analysis model to categorize 268 dysphonic patients into four distinct subgroups based on acoustic and aerodynamic voice markers. The analysis revealed significant differences in clinical diagnoses and voice parameters across these clusters, with dysfunctional dysphonia being prevalent in most groups. The findings suggest that cluster analysis may help identify patients at risk for specific laryngeal conditions, warranting further research for clinical application.

Author

16bnele0782

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EN