Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding

Full text for this resource is not available from the Research Repository.

Ruan, C, Wang, Ye, Zhang, Yanchun ORCID: 0000-0002-5094-5980 and Yang, Y (2019) Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding. In: 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019), 22 April 2019-25 April 2019, Chiang Mai, Thailand.

Item type Conference or Workshop Item (Paper)
URI http://vuir.vu.edu.au/id/eprint/39318
Identification Number https://doi.org/10.1007/978-3-030-18590-9_35
Official URL https://link.springer.com/chapter/10.1007%2F978-3-...
ISBN 9783030185893 (print) 9783030185909 (online)
Subjects Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > FOR Classification > 1104 Complementary and Alternative Medicine
Current > Division/Research > College of Science and Engineering
Keywords traditional Chinese medicine; AMNE; herbs; symptoms; prescriptions; discovery model; HINs; regularity
Citations in Scopus 3 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login