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Unobtrusive Mattress-Based Identification of Hypertension by Integrating Classification and Association Rule Mining
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Liu, Fan, Zhou, X, Wang, Z, Cao, J, Wang, Hua ORCID: 0000-0002-8465-0996 and Zhang, Yanchun
ORCID: 0000-0002-5094-5980
(2019)
Unobtrusive Mattress-Based Identification of Hypertension by Integrating Classification and Association Rule Mining.
Sensors, 19 (7).
ISSN 1424-8220
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Text
sensors-19-01489.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Official URL: https://www.mdpi.com/1424-8220/19/7/1489
Item Type: | Article |
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Uncontrolled Keywords: | hypertension identification; class association rule; CAR; classification; association rule mining; heart rate variability; HRV; ballistocardiogram; BCG |
Subjects: | FOR Classification > 0801 Artificial Intelligence and Image Processing FOR Classification > 0906 Electrical and Electronic Engineering FOR Classification > 1117 Public Health and Health Services Faculty/School/Research Centre/Department > College of Science and Engineering |
SWORD Depositor: | Symplectic Elements |
Depositing User: | Symplectic Elements |
Date Deposited: | 02 Jun 2019 23:12 |
Last Modified: | 02 Jun 2019 23:12 |
URI: | http://vuir.vu.edu.au/id/eprint/38602 |
DOI: | https://doi.org/10.3390/s19071489 |
ePrint Statistics: | View download statistics for this item |
Citations in Scopus: | 1 - View on Scopus |
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