Significant cancer prevention factor extraction: an association rule discovery approach.
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The application of data mining techniques to oral cancer prognosis.A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteriaAn association rule mining-based framework for understanding lifestyle risk behaviors.Quantitative population-health relationship (QPHR) for assessing metabolic syndromeMachine learning approaches for discerning intercorrelation of hematological parameters and glucose level for identification of diabetes mellitusData mining for the identification of metabolic syndrome status.Predicting Metabolic Syndrome Using the Random Forest Method.Comorbidity Study of Attention-deficit Hyperactivity Disorder (ADHD) in Children: Applying Association Rule Mining (ARM) to Korean National Health Insurance Data.
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Significant cancer prevention factor extraction: an association rule discovery approach.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 03 October 2009
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Significant cancer prevention factor extraction: an association rule discovery approach.
@en
Significant cancer prevention factor extraction: an association rule discovery approach.
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type
label
Significant cancer prevention factor extraction: an association rule discovery approach.
@en
Significant cancer prevention factor extraction: an association rule discovery approach.
@nl
prefLabel
Significant cancer prevention factor extraction: an association rule discovery approach.
@en
Significant cancer prevention factor extraction: an association rule discovery approach.
@nl
P2860
P50
P1476
Significant cancer prevention factor extraction: an association rule discovery approach
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P2093
Jesmin Nahar
Kevin S Tickle
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P2888
P304
P356
10.1007/S10916-009-9372-8
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2009-10-03T00:00:00Z