A Mental Health Database Creation Method with 2-Phase Correlation Computing

摘要

A person's mental health is strongly influenced by multiple factors such as external stimuli, nutrition intake, sleep, exercise and other behavioral habits. However, especially for non-specialists, covering the knowledge of all fields related to the desired situation is a complex and time-consuming task. In this research, we propose a method for creating a holistic mental health database with semantic search functions. This method combines multidisciplinary expert knowledge and allows the user to find a combination of mental health improving methods based on his/her context. The expert knowledge is registered as a relation of each stimulus and neurotransmitter secretion. Applying Mathematical Model of Meaning, context-based search is realized.