KNOWLEDGE BASED ARCHITECTURE FOR MENTAL HEALTH CARE SYSTEM

It is important for experts to understand patient emotional state and personality traits to suggest intervention materials for them. Different patient might have same emotional state, but different personality; hence a tool that can help match intervention materials with the user emotional state and personality traits is needed. Intervention materials that best suit for user’s personality is important as it will encourage them to follow the recommended materials. Personalization can be identified using the emotional states and personality traits. In mental health care, identifying emotional state, and matching intervention material based on personality traits, is critical for patient as it may affect their mental health condition progress and their willingness to follow the recommended materials. Therefore, it is crucial for users to be able to locate intervention material that best matches their personality traits. The objective of this paper is to develop a tool that can help retrieve intervention material based on personalization. By using a knowledge-based method, this tool will be able to help user match intervention materials that best suits their emotional state and personality. The architecture and components of the tool are discussed. Key Terms: Knowledge based, Architecture, Mental Health Care, Personality