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peer-reviewed research on how our Ai USes SPOKEN WORDS AND ACOUSTICS to render wellness assessments during conversations

  

"Examining spoken words and acoustic features of therapy sessions to understand family caregivers’ anxiety and quality of life" [1]

"Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety" [2]

citations

[1]

Fair Use

[1]

George Demiris, Debra Parker Oliver, Karla T. Washington, Chad Chadwick, Jeffrey D. Voigt, Sam Brotherton, Mary D. Naylor. Examining spoken words and acoustic features of therapy sessions to understand family caregivers’ anxiety and quality of life. International Journal of Medical Informatics, Volume 160, April 2022, 104716

[2]

Fair Use

[1]

Demiris, G, Corey Magan KL, Parker Oliver D, Washington KT, Chadwick C, Voigt JD, Brotherton S, Naylor MD. Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety, Journal of the American Medical Informatics Association, Volume 27, Issue 6, June 2020, Pages 929-933.

Fair Use

Fair Use

Fair Use

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