Analysis of the Correlation between Vibraimage Prediction Indicators and Depressive Disorders
Abstract
from the facial video sampling of subjects based on vibraimage technology and the hospital diagnosis results of depressive disorders. By constructing a logistic regression model to analyze the relevant data, evaluation indicators such as model accuracy and the coefficients of each
prediction indicator were obtained. The research shows that the model has certain effectiveness in predicting depressive disorders, and some
prediction indicators are significantly correlated with depressive disorders. This study provides a theoretical basis and practical reference for
predicting and assisting in the diagnosis of depressive disorders based on facial images.
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Volume 145, Issue. 2018. PP 48 - 53
DOI: http://dx.doi.org/10.70711/frim.v3i2.6037
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