Multimodal Multitask Learning for Predicting Depression Severity and Suicide Risk Using Pretrained Audio and Text Embeddings: Methodology Development and Application

The findings of this study underscore the effectiveness of the proposed MTL models using specific pretrained audio and text embeddings in enhancing model performance. However, we advocate for cautious implementation of MTL to mitigate potential negative transfer effects. Our research presents a method that is both promising and effective, offering an objective approach for accurate clinical decision support in the parallel diagnosis of DS and SR.