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

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.

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Item Type: Conference or Workshop Item (Paper)
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
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Citations in Scopus: 0 - View on Scopus

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