Paper Info
Title
Personalized Diagnostic Modal Discovery of Traditional Chinese Medicine Knowledge Graph.
Abstract
Knowledge graph is a new research hotspot in the field of artificial intelligence. Traditional Chinese medicine (TCM)knowledge graph can well describe the relationship between symptoms, syndromes, etiology, treatment, prescriptions and so on. This paper proposes the storage structure of medical cases: four-tuple, path matrix, construct personalized knowledge graph of TCM, and on the basis of the knowledge graph of the basic theory of TCM, the personalized knowledge graph of famous TCM doctors is constructed, and the personalized diagnosis model of famous TCM doctors is found and verified by experiments. Finally, a data driven knowledge discovery method based on knowledge graph is proposed.
Year
DOI
Venue
2018
10.1109/FSKD.2018.8687229
ICNC-FSKD
Field
DocType
Citations 
Knowledge graph,Data-driven,Storage structure,Computer science,Traditional Chinese medicine,Knowledge extraction,Artificial intelligence,Machine learning,Modal
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yonghong Xie112214.43
chang yan292.66
Dezheng Zhang384.26