Fig. 1: Neural network model performance to rate binary construct scales.
From: A machine learning approach predicts future risk to suicidal ideation from social media data
Bar plots of the AUC of the ROC curve (y-axis) for neural network based classification of binary statement data adapted from various scales (x-axis) psychometrically validated to rate psychological constructs for the anxiety model (a), stress model (b), burden model (c), depression model 1 (d), depression model 2 (e), hopelessness model (f), loneliness model (g), insomnia model (h), sentiment analysis polarity metric (i), depression model 3 (j). A horizontal dashed line depicts an AUC of 70% accuracy. Binary adaptations of scales appear in Supplementary Table 3.