Multimodal Data Integration Advances Longitudinal Prediction of the Naturalistic Course of Depression and Reveals a Multimodal Signature of Disease Chronicity
Philippe C. Habets, Rajat Mani Thomas, Yuri Milaneschi…·Christiaan H. Vinkers
This study uses machine learning to predict 2-year MDD chronicity by integrating proteomics with clinical data, showing improved accuracy over psychiatrists' predictions.