Generalizability of Clinical Prediction Models in Mental Health - Real-World Validation of Machine Learning Models for Depressive Symptom Prediction

Completed: Recruitment, data collection, and data quality management completed

The study examines whether a machine learning model trained on mental health research data can achieve comparable performance for predicting depression severity in unseen, independent real-world datasets , treatment settings, and time points.

Prof. Dr. Nexhmedin Morina

Prof. Dr. Ulrike Buhlmann

• Interventional

• Single group

Yes, there is a plan to make data available