Abstract. Circulatory systems diseases are one of the most important causes of death in Chilean population according to a report presented by the Chilean National Bureau of Statistics (INE). Undoubtedly, these sad numbers arise an opportunity to analyze ways to improve this situation. Personalized Medicine is a new approach used by health professionals to adapt standard medical treatments to patients' individual characteristics. Currently, several types of personalized-medicine software applications are built using Artificial Intelligent techniques and supported by techniques as Cloud Computing and Big Data. This architecture provides complex and varied information access such as clinical data, genome data, patients' treatment or drugs information, among others. This document describes a proposal to produce a method for generating and sharing medical information, particularly of maligned tumors in Chile. The prototype will be developed within the framework of the personalized medicine philosophy.

This work is focused on the search for solutions to automate the task of generating summaries of behavior of dynamic systems, in multimedia presentation forms. The main goal is to provide a solution to the presentation information problem that arises in many situations, because of large volumes of behavioral data on physical systems obtained, for example, by sensor networks.Artificial Intelligence solutions related to summarization and representation methods of dynamical systems specifically with qualitative approaches have been analyzed in this work. As a result, a general knowledge based method is proposed. This method is applicable to dynamic systems in the context of management, according to prefixed objectives. The proposed solution includes a general representation for structure and behavior knowledge. This representation helps to express more precisely the abstraction and planning presentations tasks.For the evaluation phase, a real scenario has been used in the environmental domain. It presents large datasets with quantitative measurements of different kinds. This domain has provided e complexity for modeling and experimentation, making possible to get conclusions about validity and usefulness of the proposed solutions.