Figure 1.

Workflow. We extracted a total of 185 features from answers of 7 questionnaires from 1,490 patients. We trained multiple classification models to predict depression status after outpatient therapy using data collected prior to therapy commencement only. Cross-validation was used for performance evaluation. We embedded model training and evaluation in an incremental feature selection wrapper which retained only features which were identified to be important for the model.