… The authors thank Yacine Jernite for helpful discussions and for providing his code for
identifying concepts from clinical text, and Google, Inc. for permitting the use of the Google health …

… It would be an interesting and challenging direction to combine the real-world medical
KG with that built from medical textbooks and literatures. The former one has statistically …

… In this paper, we propose a new method that uses medical text of Electronic Health Records
… them with multiview graphs enhanced by an external knowledge graph. Graph convolutional …

… the joint knowledge graph structure and text information for … language models pre-training
with more text data, such as GPT-… to medical knowledge graph reasoning, such as medical …

… This work describes our approach to mapping triples to medical text. A medical knowledge
graph is used as a source of triples that are used to find matching sentences in reference text. …

… The purpose of identifying biomedical entities in the text is to further extract relationships
and other information by identifying key concepts and to express the identified concepts in a …

… [45] collected 185796 drug labels from the China Food and Drug Administration, 3390 types
of disease information from medical textbooks, and information from 5272 examinations as …

… MEDICAL KNOWLEDGE GRAPHS Knowledge graphs have become ubiquitous nowadays
… words in given medical entity descriptions, we adopt the text model proposed in [39] as our …

… The medical knowledge graph describes the medical entities … We define the medical
knowledge graph as follows. … accurate medical facts are involved in medical knowledge graphs …

… This study also used the text data of a large online medical Q&A forum to construct a
medical Q&A knowledge graph. The Q&A dataset annotated in this knowledge graph and the …