Food Recommendation for Mental Health by Using Knowledge Graph Approach

Abstract

There are many social factors have led to the crises of human mental health. Series of mental disorders, such as the depression, anxiety, and autistic disorder, have seriously affect human life. However, healthy diet can be a recommended way for improving mental health. The gut-brain axis, which is a bi-directional pathway that promotes diets work and regulates mental health in the body. As recent nutritional researches, food can be transformed into nutrients for feeding the gut microbiota. Furthermore, the nutrients can be metabolized as activators for mental health through the gut-brain axis. In this case, integrating these complex associations is necessary for exploring the function of food on mental health. Although there is a large scale of researches about food, gut microbiota and mental disorders that have been published but seldom been further reorganized. In this paper, we curate heterogeneous data sets from multiple sources and propose a framework about food recommendation for mental health by using knowledge graph approach. There are two available case studies, which are designed for demonstrating the application about food recommendations based on SPARQL query. The results have shown that our system have integrated useful knowledge and can be used to design proper diet patterns for patients with mental disorders. It’s worth mentioning that our knowledge graph can also be extended to general human health and provide more convincing results for food researches and disease interventions.