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

Author

Listed:
  • 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)

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.

Suggested Citation

  • John N. Mordeson & D. S. Malik & Virginia M. Miller & Larry W. Hunter & Muthuvel Jayachandran & Alex Shepherd & Sarah Budney, 2015. "Risk for Carotid Intima–Medial Thickness in Recently Menopausal Women Enrolled in the Kronos Early Estrogen Prevention Study (KEEPS): Determination Using Fuzzy Logic," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 267-283.
  • Handle: RePEc:wsi:nmncxx:v:11:y:2015:i:03:n:s179300571550009x
    DOI: 10.1142/S179300571550009X
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