Determinación de factores influyentes sobre una respuesta en un dominio poco estructurado

Abstract

This report focuses on results obtained from a classification technique applied to time series data in a medical ill-structured

The statistical analysis and classification --in ill-structured-- of such data are often inadequate because of the intrinsic characteristics of those domains.

The database in this analysis contains information relative to patients with major depressive disorders or esquizofrenia; as a consequence, a high quantity of database variables contain data corresponding to measures taken in different instant of time, making curves.

For this reason we are motivated about how we can establish a useful classification technique of curves in a medical ill-structured domain.