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- W2728483128 abstract "The biological age (BA) equation is a prediction model that utilizes an algorithm to combine various biologicalmarkers of ageing. This model has been used to assess the ageing process in a more precise way and may predictpossible diseases better as compared with the chronological age (CA). Here study focus on predicting BA as deviationfrom healthy state of aging and treats CA as known and unkown value. The multiple linear regression (MLR),principal component analysis (PCA) and Klemera and Doubal method (KDM) are applied on data set from ResearchLaboratories, Russia. Thesis summarize the up-to-date knowledge about the BA formula construction and discuss theinfluential factors, so as to give an overview of BA estimate by PCA, MLR, KDM and group miltiple linear regression,choices of test items, and selection of ageing biomarkers. It is also discussed the advantages and disadvantages ofevery method with reference to the construction mechanism, accuracy, and practicability of several common methodsin the construction of the BA formula." @default.
- W2728483128 created "2017-07-14" @default.
- W2728483128 creator A5053980342 @default.
- W2728483128 date "2017-01-01" @default.
- W2728483128 modified "2023-09-26" @default.
- W2728483128 title "Prediction of Biological Age" @default.
- W2728483128 hasPublicationYear "2017" @default.
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