CrossRef Text and Data Mining
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Diagnostic Analysis of Patients with Essential Hypertension Using Association Rule Mining
A Mi Shin, In Hee Lee, Gyeong Ho Lee, Hee Joon Park, Hyung Seop Park, Kyung Il Yoon, Jung Jeung Lee, Yoon Nyun Kim
Healthc Inform Res. 2010;16(2):77-81.   Published online June 30, 2010
DOI: https://doi.org/10.4258/hir.2010.16.2.77

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Diagnostic Analysis of Patients with Essential Hypertension Using Association Rule Mining
Healthcare Informatics Research. 2010;16(2):77   Crossref logo
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Altered modular organization in schizophrenia patients and analysis using supervised association rule mining
Biocybernetics and Biomedical Engineering. 2016;36(2):397-412   Crossref logo
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A Selective Analysis of Microarray Data Using Association Rule Mining
Procedia Computer Science. 2015;47:3-12   Crossref logo
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Exploring Technology Influencers from Patent Data Using Association Rule Mining and Social Network Analysis
Information. 2020;11(6):333   Crossref logo
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Characterizing network traffic behaviour using granule-based association rule mining
International Journal of Network Management. 2016;26(4):308-329   Crossref logo
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Incremental association rule mining: a survey
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2013;3(3):157-169   Crossref logo
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Intelligent Data Analysis Using Hadoop Cluster – Inspired MapReduce Framework and Association Rule Mining on Educational Domain
Intelligent Data Analysis. 2020;137-156   Crossref logo
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Bone density change analysis of elderly essential hypertension patients
Bone. 2008;43:S125   Crossref logo
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Extracting hidden rules from Brucellosis patients data in Razavi Khorasan province using association rule mining technique
Medical Technologies Journal. 2017;1(4):128-128   Crossref logo
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Relation of Left Ventricular Mass, Preload, Afterload and Contractility in Pediatric Patients with Essential Hypertension
Journal of Diagnostic Medical Sonography. 1993;9(5):277-277   Crossref logo
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