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A Study of Complication Identification Based on Weighted Association Rule Mining



2016

Created by Alysson Bolognesi Prado at 2016-07-24 08:20:36.0.
Last updated by Alysson Bolognesi Prado at 2016-07-25 18:31:05.0.
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3

ICISO 2016 - All Papers

ICISO 2016 - Full Papers

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Zhijun Yan

Kai Liu

Meiming Xing

Tianmei Wang

Baowen Sun

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An automated technique for identifying associations between medications, laboratory results and problems

Diagnostic analysis of patients with essential hypertension using association rule mining

Comorbidity study on type 2 diabetes mellitus using data mining

Automatic inspection system of LED chip using two-stages back-propagation neural network

Back propagation neural network with adaptive differential evolution algorithm for time series forecasting

Mining association rules with weighted items

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A Study of Complication Identification Based on Weighted Association Rule Mining


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