Acoustic and Facial Features From Clinical Interviews for Machine Learning–Based Psychiatric Diagnosis: Algorithm Development

Acoustic and Facial Features From Clinical Interviews for Machine Learning–Based Psychiatric Diagnosis: Algorithm Development

BackgroundIn contrast to all other areas of medicine, psychiatry is still nearly entirely reliant on subjective assessments such as patient self-report and clinical observation. The lack of objective information on which to base clinical decisions can contribute to reduced qu...

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Bibliographic Details
Main Authors: Michael L Birnbaum, Avner Abrami, Stephen Heisig, Asra Ali, Elizabeth Arenare, Carla Agurto, Nathaniel Lu, John M Kane, Guillermo Cecchi
Format: Article
Language:English
Published: JMIR Publications 2022-01-01
Series:JMIR Mental Health
Online Access:https://mental.jmir.org/2022/1/e24699

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https://mental.jmir.org/2022/1/e24699

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