Article

Mining Constrained Association Rules to Predict Heart Disease

Authors:

Elizabeth Krawczynska,

Ernest V. GarciaAuthors Info & Claims

ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining

Pages 433 - 440

Published: 29 November 2001 Publication History

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Abstract

This work describes our experiences on discovering association rules in medical data to predict heart disease. We focus on two aspects in this work: mapping medical data toa transaction format suitable for mining association rules and identifying useful constraints. Based on these aspects we introduce an improved algorithm to discover constrainedassociation rules. We present an experimental sectionexplaining several interesting discovered rules.

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Wang TDesai BDesai BAnagnostopoulos DManolopoulos YNikolaidou M(2019)On the appropriate pattern frequentness measure and pattern generation modeProceedings of the 23rd International Database Applications & Engineering Symposium10.1145/3331076.3331125(1-15)Online publication date: 10-Jun-2019
https://dl.acm.org/doi/10.1145/3331076.3331125
Arabasadi ZAlizadehsani RRoshanzamir MMoosaei HYarifard A(2017)Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithmComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2017.01.004141:C(19-26)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1016/j.cmpb.2017.01.004
Alizadehsani RZangooei MHosseini MHabibi JKhosravi ARoshanzamir MKhozeimeh FSarrafzadegan NNahavandi S(2016)Coronary artery disease detection using computational intelligence methodsKnowledge-Based Systems10.1016/j.knosys.2016.07.004109:C(187-197)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.knosys.2016.07.004
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Mining Constrained Association Rules to Predict Heart Disease
1. Applied computing
  1. Life and medical sciences
2. Information systems
  1. Information systems applications

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ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining

November 2001

663 pages

ISBN:0769511198

Publisher

IEEE Computer Society

United States

Publication History

Published: 29 November 2001

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Wang TDesai BDesai BAnagnostopoulos DManolopoulos YNikolaidou M(2019)On the appropriate pattern frequentness measure and pattern generation modeProceedings of the 23rd International Database Applications & Engineering Symposium10.1145/3331076.3331125(1-15)Online publication date: 10-Jun-2019
https://dl.acm.org/doi/10.1145/3331076.3331125
Arabasadi ZAlizadehsani RRoshanzamir MMoosaei HYarifard A(2017)Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithmComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2017.01.004141:C(19-26)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1016/j.cmpb.2017.01.004
Alizadehsani RZangooei MHosseini MHabibi JKhosravi ARoshanzamir MKhozeimeh FSarrafzadegan NNahavandi S(2016)Coronary artery disease detection using computational intelligence methodsKnowledge-Based Systems10.1016/j.knosys.2016.07.004109:C(187-197)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.knosys.2016.07.004
Lin WSu JWang STao YChen LLee C(2014)Mining Association Rules with Range SupportProceedings of the 12th International Conference on Advances in Mobile Computing and Multimedia10.1145/2684103.2684161(326-329)Online publication date: 8-Dec-2014
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Cheng CChanani NMaher KWang MBaldi PWang W(2014)icuARM-IIProceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics10.1145/2649387.2649440(211-219)Online publication date: 20-Sep-2014
https://dl.acm.org/doi/10.1145/2649387.2649440
Nahar JImam TTickle KChen Y(2013)Association rule mining to detect factors which contribute to heart disease in males and femalesExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.08.02840:4(1086-1093)Online publication date: 1-Mar-2013
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Kobyli$#324;ski Ł(2011)Mining class association rules for word sense disambiguationProceedings of the 2011 international conference on Security and Intelligent Information Systems10.1007/978-3-642-25261-7_24(307-317)Online publication date: 13-Jun-2011
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Karaolis MMoutiris JHadjipanayi DPattichis C(2010)Assessment of the risk factors of coronary heart events based on data mining with decision treesIEEE Transactions on Information Technology in Biomedicine10.1109/TITB.2009.203890614:3(559-566)Online publication date: 1-May-2010
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Ordonez CChen ZPuolamäki KMannila HBertone AMiksch S(2009)Exploration and visualization of OLAP cubes with statistical testsProceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration10.1145/1562849.1562855(46-55)Online publication date: 28-Jun-2009
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Wang TDesai B(2009)Issues in pattern mining and their resolutionsProceedings of the 2nd Canadian Conference on Computer Science and Software Engineering10.1145/1557626.1557630(17-26)Online publication date: 19-May-2009
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Mining Inter-transactional Association Rules: Generalization and Empirical Evaluation

Efficient Mining of Intertransaction Association Rules

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