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Identification of Hypertension by Mining Class Association Rules from Multi-dimensional Features

Liu, Fan, Zhou, X, Wang, Z, Wang, T and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2018) Identification of Hypertension by Mining Class Association Rules from Multi-dimensional Features. In: 2018 24th International Conference on Pattern Recognition (ICPR), 20 Aug 2018 - 24 Aug 2018, Beijing, China.

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Item Type: Conference or Workshop Item (Paper)
ISBN: 9781538637883 (online) 9781538637876 (USB) 9781538637890 (print)
Uncontrolled Keywords: hypertension; CARs; BCG
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > College of Science and Engineering
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 26 Mar 2019 00:52
Last Modified: 31 May 2019 00:25
URI: http://vuir.vu.edu.au/id/eprint/38182
DOI: https://doi.org/10.1109/ICPR.2018.8545326
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Citations in Scopus: 4 - View on Scopus

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