Brain Age Estimation Using UK Biobank Data: Methodologies and Outcomes
Ahmed Salih1, *
Abstract
Brain age estimation has received much attention from neurologists and researchers in recent years. It can be used to track cognition development and monitoring brain diseases progress throughout life span for both healthy and patient’s people. Different methods and data have been used to predict age of brain based on research objective. Supervised ma-chine learning methods are used to estimate brain age as a regression problem. UK Biobank is a large cohort prospective that gathered health related data about 500, 000 British aged between 40 and 69 since 2006. Many studies have used UK biobank data to estimate brain age. We discuss their methods, data used and the objective of these studies. We also highlight the differences among them despite the use of same data and for the same purpose.
* Address correspondence to this author at the Dept. of Computer Science, University of Verona, Italy; E-mail: ahmed_mahdi@outlook.com