Risk for Carotid Intima–Medial Thickness in Recently Menopausal Women Enrolled in the Kronos Early Estrogen Prevention Study (KEEPS): Determination Using Fuzzy Logic

John N. Mordeson (), D. S. Malik (), Virginia M. Miller (), Larry W. Hunter (), Muthuvel Jayachandran (), Alex Shepherd () and Sarah Budney ()
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John N. Mordeson: Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA
D. S. Malik: Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA
Virginia M. Miller: Mayo Clinic Rochester, Minnesota 55902, USA
Larry W. Hunter: Mayo Clinic Rochester, Minnesota 55902, USA
Muthuvel Jayachandran: Mayo Clinic Rochester, Minnesota 55902, USA
Alex Shepherd: Department of Biology, Creighton University, Omaha, Nebraska 68178, USA
Sarah Budney: Departments of Biology and Mathematics, Creighton University, Omaha, Nebraska 68178, USA

New Mathematics and Natural Computation (NMNC), 2015, vol. 11, issue 03, 267-283

Abstract: Previously, the biological factors were weighed by the expert opinions. In this paper, we evaluate the risk factors proposed by the expert opinions. We use fuzzy logic techniques for predicting risk for development of carotid intima–medial thickness (CIMT) using expert opinion and various factors associated with CIMT in recently menopausal women. Study participants were enrolled in the Kronos Early Estrogen Prevention Study (KEEPS), a four-year study where participants were assigned to either oral or transdermal hormone treatments or to placebo. We use preference modeling techniques to determine the consensus winner of the causal factors. We use a measure to determine the degree to which one factor is preferred to another. We also determine the extent to which a factor is preferred to another by "most" experts. We determine the degree to which the experts agree. We consider a model concerning social networks and the effects of these networks on persons' opinions.

Keywords: CIMT; risk factor; cartoid intima–medial thickness; menopausal; fuzzy logic; AHP method; Guiasu method; hormone replacement therapy (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1142/S179300571550009X

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