Jayhyun Chang

Contextual Gaps in Machine Learning for Mental Illness Prediction: The Case of Diagnostic Disclosures

Getting training data for machine learning (ML) prediction of mental illness on social media data is labor intensive. To work around this, ML teams will extrapolate proxy signals, or alternative signs from data to evaluate illness status and create training datasets. However, these signals' validity has not been deter…