Application of Apriori Algorithm in Diagnosis of Stroke

Wei Peng Zhang

doi:10.4028/www.scientific.net/AMR.490-495.2017

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495Application of Apriori Algorithm in Diagnosis of...

Application of Apriori Algorithm in Diagnosis of Stroke

Abstract:

To apply Apriori algorithm to analysis on association of stroke and hemorheology, and obtain the meaningful medical information. A large number of hemorheology data of patients with stroke were collected, including whole blood viscosity low cut, whole blood viscosity medium cut, whole blood viscosity high cut, blood sedimentation, hematocrit, plasma viscosity, thrombus, age, sex. Minimum support was 0.2 and minimum confidence was 0.8 as experience for analysis of association rules with apriori algorithm. Four strong association rules were screened by the objective and subjective interestingness, which contained the relation between the stroke and age, sex, whole blood viscosity, plasma viscosity. The results show that Apriori algorithm can be used to study the the diagnosis and prevention of stroke.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

2017-2021

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.2017

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Online since:

March 2012

Authors:

Wei Peng Zhang

Keywords:

Apriori Algorithm, Hemorheology, Interesting Measure, Stroke

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