Scientists see new vocal patterns associated with type 2 diabetes

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Researchers at Klick Labs found vocal patterns associated with type 2 diabetes by analyzing smartphone recordings of short spoken sentences. The study used spectrograms and participant sex as criteria and was published in the IEEE Journal of Biomedical and Health Informatics.

A new study in the IEEE Journal of Biomedical and Health Informatics reveals how scientists at Klick Labs created visual maps of sound frequencies (spectrograms) to identify complex, new patterns associated with type 2 diabetes, using only smartphone recordings of randomly selected short English sentences and participant sex as study criteria.