Abstract
Carotid intima-medial thickness (CIMT) allows for early detection of carotid atherosclerotic vascular disease. Using fuzzy logic techniques, we propose a model for calculating the risk for predicting 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 therapy or to the placebo group. The fuzzy mathematical model uses five fuzzy logic methods to calculate this risk factor for CIMT, including the analytic hierarchy process (AHP) method, Guiasu method, Yen method, Dempster-Shafer (DS) method, and the set valued statistical method (SVSM). The four methods, AHP, Guiasu, Yen, DS, and SVSM, were correlated to each other according to the Pearson ranking method. In addition, results showed that the estrogen treatment groups showed a statically significant decrease in calculated CIMT risk compared to placebo when all the methods were combined together (p = 0.0017). Our fuzzy mathematical model provides the first fuzzy mathematical model to predict the risk of CIMT in recently menopausal women and menopausal hormone therapy may be beneficial in reducing this risk.
Original language | English |
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Pages (from-to) | 187-201 |
Number of pages | 15 |
Journal | New Mathematics and Natural Computation |
Volume | 10 |
Issue number | 3 |
DOIs | |
State | Published - 2014 |
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All Science Journal Classification (ASJC) codes
- Applied Mathematics
- Computational Mathematics
- Computer Science Applications
- Computational Theory and Mathematics
- Human-Computer Interaction
Cite this
A fuzzy mathematical model determining the risk for carotid intima-medial thickness in recently menopausal women enrolled in the KEEPS study. / Shepherd, Alex; Miller, Virginia M.; Hunter, Larry W.; Jayachandran, Muthuvel; Malik, Davender S.; Mordeson, John N.
In: New Mathematics and Natural Computation, Vol. 10, No. 3, 2014, p. 187-201.Research output: Contribution to journal › Article
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TY - JOUR
T1 - A fuzzy mathematical model determining the risk for carotid intima-medial thickness in recently menopausal women enrolled in the KEEPS study
AU - Shepherd, Alex
AU - Miller, Virginia M.
AU - Hunter, Larry W.
AU - Jayachandran, Muthuvel
AU - Malik, Davender S.
AU - Mordeson, John N.
PY - 2014
Y1 - 2014
N2 - Carotid intima-medial thickness (CIMT) allows for early detection of carotid atherosclerotic vascular disease. Using fuzzy logic techniques, we propose a model for calculating the risk for predicting 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 therapy or to the placebo group. The fuzzy mathematical model uses five fuzzy logic methods to calculate this risk factor for CIMT, including the analytic hierarchy process (AHP) method, Guiasu method, Yen method, Dempster-Shafer (DS) method, and the set valued statistical method (SVSM). The four methods, AHP, Guiasu, Yen, DS, and SVSM, were correlated to each other according to the Pearson ranking method. In addition, results showed that the estrogen treatment groups showed a statically significant decrease in calculated CIMT risk compared to placebo when all the methods were combined together (p = 0.0017). Our fuzzy mathematical model provides the first fuzzy mathematical model to predict the risk of CIMT in recently menopausal women and menopausal hormone therapy may be beneficial in reducing this risk.
AB - Carotid intima-medial thickness (CIMT) allows for early detection of carotid atherosclerotic vascular disease. Using fuzzy logic techniques, we propose a model for calculating the risk for predicting 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 therapy or to the placebo group. The fuzzy mathematical model uses five fuzzy logic methods to calculate this risk factor for CIMT, including the analytic hierarchy process (AHP) method, Guiasu method, Yen method, Dempster-Shafer (DS) method, and the set valued statistical method (SVSM). The four methods, AHP, Guiasu, Yen, DS, and SVSM, were correlated to each other according to the Pearson ranking method. In addition, results showed that the estrogen treatment groups showed a statically significant decrease in calculated CIMT risk compared to placebo when all the methods were combined together (p = 0.0017). Our fuzzy mathematical model provides the first fuzzy mathematical model to predict the risk of CIMT in recently menopausal women and menopausal hormone therapy may be beneficial in reducing this risk.
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U2 - 10.1142/S1793005714500100
DO - 10.1142/S1793005714500100
M3 - Article
AN - SCOPUS:84906654057
VL - 10
SP - 187
EP - 201
JO - New Mathematics and Natural Computation
JF - New Mathematics and Natural Computation
SN - 1793-0057
IS - 3
ER -