This paper is in the following e-collection/theme issue:

Diagnostic Tools in Mental Health (224) Machine Learning (1400) Bipolar Disorders (55) Psychotic Disorders (157) e-Mental Health and Cyberpsychology (1411) Methods and New Tools in Mental Health Research (428) New Methods (911) Psychiatry (41)

Published on in Vol 9, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24699, first published .
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

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

Authors of this article:

Michael L Birnbaum1, 2, 3 Author Orcid Image ;   Avner Abrami4 Author Orcid Image ;   Stephen Heisig5 Author Orcid Image ;   Asra Ali1, 2 Author Orcid Image ;   Elizabeth Arenare1, 2 Author Orcid Image ;   Carla Agurto4 Author Orcid Image ;   Nathaniel Lu1, 2 Author Orcid Image ;   John M Kane1, 2, 3 Author Orcid Image ;   Guillermo Cecchi4 Author Orcid Image
Article Authors Cited by (14) Tweetations (12) Metrics

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