On the integration of clinical and digital environments to support the diagnosis of stuttering: challenges and opportunities
DOI:
https://doi.org/10.5753/compbr.2023.51.3992Keywords:
Stuttering, Diagnostic, Data Science, Machine LearningAbstract
Stuttering is a fluency disorder that appears in childhood. The diagnosis is performed by the speech therapist, based on the analysis of the clinical history and assessment of speech fluency. However, diagnostic procedures are usually manual and depend on the experience of the examiner. This paper discusses how the integration of the clinical environment with the digital world can support the aforementioned procedures, pointing out opportunities by means of automation of health records, software for fluency assessment, and the use of Machine Learning.
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