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

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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Bibliographic Details
Main Authors: Ran Barzilay, Nadav Israel, Amir Krivoy, Roi Sagy, Shiri Kamhi-Nesher, Oren Loebstein, Lior Wolf, Gal Shoval
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Psychiatry
Subjects:
affect
face recognition
machine learning
schizophrenia
clinical psychiatry
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2019.00288/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyt.2019.00288/full

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