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Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding
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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.
Official URL: https://link.springer.com/chapter/10.1007%2F978-3-...
Item Type: | Conference or Workshop Item (Paper) |
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ISBN: | 9783030185893 (print) 9783030185909 (online) |
Uncontrolled Keywords: | traditional Chinese medicine; AMNE; herbs; symptoms; prescriptions; discovery model; HINs; regularity |
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: | 28 Aug 2019 00:24 |
Last Modified: | 28 Aug 2019 00:24 |
URI: | http://vuir.vu.edu.au/id/eprint/39318 |
DOI: | https://doi.org/10.1007/978-3-030-18590-9_35 |
ePrint Statistics: | View download statistics for this item |
Citations in Scopus: | 0 - View on Scopus |
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