Analyzing a psychiatric domain using KDSM methodology

A KDSM methodology for analyzing repeated very short-serial measures in a psychiatric ill-structured domain is introduced. This methodology is based on a combination of clustering based on rules with some Inductive Learning (Artificial Intelligence) and clustering (Statistics) techniques. This proposal focuses on results obtained on a real application of this kind of data, where common statistical analysis (time series analysis, multivariate...) and artificial intelligence techniques (knowledge based methods, inductive learning) of such data are often inadequate because of the intrinsic characteristics of those domains.