Research Repository

Heterogeneous Information Network Based Clustering for Categorizations of Traditional Chinese Medicine Formula

Chen, X, Ruan, C, Zhang, Yanchun ORCID: 0000-0002-5094-5980 and Chen, H (2019) Heterogeneous Information Network Based Clustering for Categorizations of Traditional Chinese Medicine Formula. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 3 Dec 2018 - 6 Dec 2018, Madrid, Spain.

Full text for this resource is not available from the Research Repository.
Item Type: Conference or Workshop Item (Paper)
ISBN: 9781538654880 (online) 9781538654873 (USB) 9781538654897 (print)
Uncontrolled Keywords: traditional Chinese medicine; formula regularity; prescription; formula categorization; ranking-based clustering algorithm; TCM-Clus
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 1104 Complementary and Alternative Medicine
Faculty/School/Research Centre/Department > College of Science and Engineering
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 02 May 2019 01:37
Last Modified: 02 May 2019 01:37
URI: http://vuir.vu.edu.au/id/eprint/38384
DOI: https://doi.org/10.1109/BIBM.2018.8621431
ePrint Statistics: View download statistics for this item
Citations in Scopus: 0 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar