Paper Title :Comparisons of Biological Age Prediction Models for Patients with Metabolic Syndrome
Author :Haemi Jee
Article Citation :Haemi Jee ,
(2018 ) " Comparisons of Biological Age Prediction Models for Patients with Metabolic Syndrome " ,
International Journal of Advances in Science, Engineering and Technology(IJASEAT) ,
pp. 13-15,
Volume-6, Issue-4
Abstract : The aim of the study was to compare three different biological age (BA) estimation methods of multiple linear
regression (MLR), Principal component analysis (PCA), and that of Klemera and Doubal (KDM). In a previous study, three
BA models were developed for feasibility comparisons. Although mathematically compared, feasibility assessment should be
conducted for applicability in a clinical setting. Fifteen middle aged female subjects with metabolic syndrome and 15 age range
matched healthy subjects were compared for BA calculated by the three estimation methods. As results, the PCA and KDM
methods showed significantly greater BA in comparison to CA in subjects with metabolic syndrome. Although KDM showed
smaller difference in BA in comparison to BA of PCA, PCA show greater variance in standard deviation. In conclusion, KDM
and PCA estimation methods showed significant changes in BA for possible application in clinical field. However, greater
variance in results of PCA needs to be considered for accuracy.
Index Terms - Biological age, Chronological age, Multiple linear regression, Principal component analysis
Type : Research paper
Published : Volume-6, Issue-4
DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-13898
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Copyright: © Institute of Research and Journals
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Published on 2018-12-25 |
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