Prediction of Biological Age

Abstract: The biological age (BA) equation is a prediction model that utilizes an algorithm to combine various biological markers of ageing. This model has been used to assess the ageing process in a more precise way and may predict possible diseases better as compared with the chronological age (CA). Here study focus on predicting BA as deviation from 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 Research Laboratories, Russia. Thesis summarize the up-to-date knowledge about the BA formula construction and discuss the influential 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 of every method with reference to the construction mechanism, accuracy, and practicability of several common methods in the construction of the BA formula.