PMID: 16617622Apr 19, 2006Paper

Association rule discovery with the train and test approach for heart disease prediction

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
Carlos Ordonez

Abstract

Association rules represent a promising technique to improve heart disease prediction. Unfortunately, when association rules are applied on a medical data set, they produce an extremely large number of rules. Most of such rules are medically irrelevant and the time required to find them can be impractical. A more important issue is that, in general, association rules are mined on the entire data set without validation on an independent sample. To solve these limitations, we introduce an algorithm that uses search constraints to reduce the number of rules, searches for association rules on a training set, and finally validates them on an independent test set. The medical significance of discovered rules is evaluated with support, confidence, and lift. Association rules are applied on a real data set containing medical records of patients with heart disease. In medical terms, association rules relate heart perfusion measurements and risk factors to the degree of disease in four specific arteries. Search constraints and test set validation significantly reduce the number of association rules and produce a set of rules with high predictive accuracy. We exhibit important rules with high confidence, high lift, or both, that remain va...Continue Reading

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Citations

Aug 13, 2010·Journal of Medical Systems·Jesmin NaharYi-Ping Phoebe Chen
Oct 4, 2011·Journal of Medical Systems·Kavishwar B WagholikarAshok W Deshpande
Feb 10, 2009·Computers in Biology and Medicine·Babita Pandey, R B Mishra
Aug 28, 2007·Computer Methods and Programs in Biomedicine·G VannozziU Della Croce
Jul 8, 2015·Scientific Reports·Dominik DahlemCarlo Ratti
Aug 16, 2012·IEEE Journal of Biomedical and Health Informatics·G Loukides, A Gkoulalas-Divanis
Mar 11, 2009·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Carlos Ordonez, Zhibo Chen
May 24, 2011·Patient Education and Counseling·Elizabete LoureiroMaria Amélia Ferreira
May 9, 2012·Expert Systems with Applications·Grigorios Loukides, Aris Gkoulalas-Divanis
Sep 15, 2017·Medical & Biological Engineering & Computing·Ramesh Dhanaseelan, M Jeya Sutha
Aug 2, 2017·Health Informatics Journal·Ilham KadiJosé Luis Fernandez-Aleman
May 21, 2020·Computer Methods in Biomechanics and Biomedical Engineering·Ioannis D Apostolopoulos, Peter P Groumpos
Dec 7, 2018·Technology and Health Care : Official Journal of the European Society for Engineering and Medicine·Amit Prakash, Sujan Kumar Saha
May 15, 2021·Interdisciplinary Sciences, Computational Life Sciences·V Jothi Prakash, N K Karthikeyan

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