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ABSTRACT: Methods
Case-control study including 100 patients with unilateral vocal fold lesions in comparison to 38 normophonic subjects. Quantitative assessment with the determination of vocal fold oscillation parameters was performed based on HSV kymography. Machine-learning predictive models were developed and validated.Results
All calculated parameters differed significantly between healthy subjects and patients with organic lesions. The first predictive model distinguishing any organic lesion patients from healthy subjects reached an area under the curve (AUC) equal to 0.983
SUBMITTER: Malinowski J
PROVIDER: S-EPMC10378075 | biostudies-literature | 2023 Jul
REPOSITORIES: biostudies-literature