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作 者:Khaled A.Al-Utaibi M.Idreest Ayesha Sohail Fatima Arift Alessandro Nutini Sadiq M.Sait
机构地区:[1]Computer Science and Software Engineering Department University of Ha'il,Ha il,Saudi Arabia [2]Department of Mathematics Comsats University Islamabad,Lahore 54000,Pakistan [3]Center for Study in Motor Science 94 via di Tiglio,loc.Arancio,55100,Lucca,Italy [4]Center for Communications and IT Research,Research Institute King Fahd University of Petroleum Minerals Dhahran 31261,Saudi Anabia
出 处:《International Journal of Modeling, Simulation, and Scientific Computing》2022年第3期187-206,共20页建模、仿真和科学计算国际期刊(英文)
基 金:The authors would like to acknowledge the support provided by NRPU 4275.
摘 要:Our endocrine system is not only complex,but is also enormously sensitive to the imbalances caused by the environmental stressors,extreme weather situation,and other geographical factors.The endocrine disruptions are associated with the bone diseases.Osteoporosis is a bone disorder that occurs when bone mineral density and bone mass decrease.It affects women and men of all races and ethnic groups,causing bone weakness and the risk of fractures.Environmental stresses are referred to physical,chemical,and biological factors that can impact species productivity.This research aims to examine the impact of environmental stresses on bone diseases like osteoporosis and low bone mass(LBM)in the United States(US).For this purpose,we use an artificial neural network model to evaluate the correlation between the data.A multilayer neural network model is constructed using the Levenberg–Marquardt training algorithm,and its performance is evaluated by mean absolute error and coefficient of correlation.The data of osteoporosis and LBM cases in the US are divided into three groups,including gender group,age group,and race/ethnicity group.Each group shows a positive correlation with environmental stresses and thus the endocrinology.
关 键 词:Endocrine disruptors OSTEOPOROSIS LBM environmental stresses spatial ANNs
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