Constructed Temporal Features for Longitudinal Classification of Human Ageing Data

Standard classification algorithms ignore the time-related information contained in longitudinal data, as they do not consider the time indexes of the features’ different measurements. Accounting for temporal patterns may improve the algorithms’ performance, when applied to longitudinal data. Representing temporal patterns in the data itself has the advantage that those patterns are generic enough...