  To date, there are no effective treatments for most neurodegenerative
diseases. However, certain foods may be associated with these diseases and
bring an opportunity to prevent or delay neurodegenerative progression. Our
objective is to construct a knowledge graph for neurodegenerative diseases
using literature mining to study their relations with diet. We collected
biomedical annotations (Disease, Chemical, Gene, Species, SNP&Mutation) in the
abstracts from 4,300 publications relevant to both neurodegenerative diseases
and diet using PubTator, an NIH-supported tool that can extract biomedical
concepts from literature. A knowledge graph was created from these annotations.
Graph embeddings were then trained with the node2vec algorithm to support
potential concept clustering and similar concept identification. We found
several food-related species and chemicals that might come from diet and have
an impact on neurodegenerative diseases.
