Construction of mental health analysis model based on multi-modal feature learning and fusion network

Key Points

• The developed analysis model aims to enhance understanding of mental health conditions, utilizing diverse data inputs.
• Key metrics like accuracy and efficiency were prioritized to ensure effective performance of the fusion network.
• The approach employed a fusion network that integrates multiple features for comprehensive mental health analysis.
• This highlights the potential of innovative modeling techniques in advancing mental health understanding and interventions.