There is 1 paper on speech-based T2D prediction model in aging research: 1 observational study in people.
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“The model demonstrated clinically useful predictive capacity on self-reported data (AUC = 0.80 {+/-} 0.03), approaching QDiabetes (AUC = 0.86 {+/-} 0.03).”
- Humans1
Associations
1Type 2 diabetes
upin humans1
1 study
Type 2 diabetes
upin humans1
Speech-based T2D prediction model predicts type 2 diabetes in humans (AUC = 0.80 ± 0.03).
“The model demonstrated clinically useful predictive capacity on self-reported data (AUC = 0.80 {+/-} 0.03), approaching QDiabetes (AUC = 0.86 {+/-} 0.03).”
Humansn = 7,319
Detection of Type 2 Diabetes from 20-second Speech Recordings: A Large-Scale Validation Study
medRxivPreprint
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Detection of Type 2 Diabetes from 20-second Speech Recordings: A Large-Scale Validation Study
Preprint: cohort study of 7,319 peopleType 2 diabetes