Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The addition of new terms to biomedical thesauri is important for keeping pace with new research. In the context of a thesaurus expansion task,  investigate the property of Laplacian diffusion kernel matrices that depreciate pivotal vertices having many links to surrounding vertices.  confirm that this property can be seen on the Laplacian matrix of a graph that  construct from the GENIA corpus (a subset of MEDLINE abstracts) and simulate thesaurus expansion by employing either the Laplacian diffusion kernel matrix, or the adjacency matrix (i.e., cosine similarity), to determine the correct position for new biomedical terms being added to the MeSH thesaurus. Whilst results do not show the desired precision, our approach is shown to be complementary to calculation of cosine similarity beten thesaurus terms and  recognize directions for future work.
['Ikumi Suzuki', 'Kazuo Hara', 'Masashi Shimbo', 'Yuji Matsumoto']
I am writing a research paper on a idea A graph-based approach for biomedical thesaurus expansion
[{"from": "human", "value": "I am writing a research paper on a idea A graph-based approach for biomedical thesaurus expansion"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The addition of new terms to biomedical thesauri is important for keeping pace with new research. In the context of a thesaurus expansion task,  investigate the property of Laplacian diffusion kernel matrices that depreciate pivotal vertices having many links to surrounding vertices.  confirm that this property can be seen on the Laplacian matrix of a graph that  construct from the GENIA corpus (a subset of MEDLINE abstracts) and simulate thesaurus expansion by employing either the Laplacian diffusion kernel matrix, or the adjacency matrix (i.e., cosine similarity), to determine the correct position for new biomedical terms being added to the MeSH thesaurus. Whilst results do not show the desired precision, our approach is shown to be complementary to calculation of cosine similarity beten thesaurus terms and  recognize directions for future work."}]