Bayesian estimation for modelling acute myocardial infarction deaths using Lorenz curve.

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dc.contributor.author Seker, H. en
dc.contributor.author Bener, A. en
dc.contributor.author Farooq, A. en
dc.contributor.author Kittani, H. en
dc.date.accessioned 2008-11-24T13:24:19Z
dc.date.available 2008-11-24T13:24:19Z
dc.date.issued 2005-12-01 en
dc.identifier.citation Seker, H. et al.(2005) Bayesian estimation for modelling acute myocardial infarction deaths using Lorenz curve. International Journal of Applied Science and Computation, 12(3), pp. 132-147.
dc.identifier.issn 1089-0025 en
dc.identifier.uri http://hdl.handle.net/2086/205
dc.description The aim of the paper is to evaluate Lorenz Curve-based statistical approaches to assess various markers associated with acute myocardial infarction (AMI) and consequently improve treatment strategy and patients' welfare with a specific focus group of women. The research was carried out on Qatari population of over 1.5K patients, being the largest reported in the literature. The paper's finding was found to be significant with a note that women with AMI have higher in-hospital mortality. The study therefore suggests that regional and global measures to fight coronary artery disease and its risk factors in women should be placed immediately. en
dc.language.iso en en
dc.publisher Institute of Applied Science & Computations en
dc.subject RAE 2008
dc.subject UoA 23 Computer Science and Informatics
dc.title Bayesian estimation for modelling acute myocardial infarction deaths using Lorenz curve. en
dc.type Article en
dc.researchgroup Centre for Computational Intelligence
dc.researchgroup Pharmaceutical Technologies


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