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What is AI Risk Assessment for Mental Health about?

The project report focuses on the development of an AI-driven model for risk assessment of mental health issues in psychoactive drug users, utilizing machine learning techniques such as Support Vector Machines (SVM) and Multilayer Perceptron (MLP) with attention mechanisms to enhance classification accuracy. The research aims to automate the diagnostic process, making it more efficient and accessible, while addressing ethical considerations related to data privacy. The findings indicate that attention-based

Author

abmis1234567890

Language

EN