Methods and systems are provided for diagnosing mental health conditions using multiple data modalities. In particular, a trained machine learning model is used for mental health diagnosis, wherein the trained model utilizes a dynamic fusion approach for capturing and preserving interactions as well as timing information between the multiple data modalities.