Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System: A Pilot Study in Schizophrenia Patients

Classifying patients’ affect is a pivotal part of the mental status examination. However, this common practice is often widely inconsistent between raters. Recent advances in the field of Facial Action Recognition (FAR) have enabled the development of tools that can act to identify facial expression...

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Detalles Bibliográficos
Autores principales: Barzilay, Ran, Israel, Nadav, Krivoy, Amir, Sagy, Roi, Kamhi-Nesher, Shiri, Loebstein, Oren, Wolf, Lior, Shoval, Gal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6512891/
https://www.ncbi.nlm.nih.gov/pubmed/31133892
http://dx.doi.org/10.3389/fpsyt.2019.00288

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6512891/
https://www.ncbi.nlm.nih.gov/pubmed/31133892
http://dx.doi.org/10.3389/fpsyt.2019.00288

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