: Artificial Intelligence and Knowledge Engineering GROUP

TRABAJOS FIN DE MASTER

MASTER THESIS

Estos son los Trabajos Fin de Máster ofertados. Si tienes alguna propuesta, háznosla saber.

• Trab. Fin de Máster (Master Thesis)
  Titulo (Title): "Subgroup Discovery Algorithms in an Antimicrobial Database".
  Director (Advisor): Manuel Campos and Jose M. Juarez
  Asignado (Student): no.
  Itinerario (Master): Inteligencia Artificial y Sistemas Biomédicos.
  No. Alumnos (No. Students): 1.
  Requisitos (Requisites):
  Resumen (Summary): Unlike classical data mining, focused on the discovery of frequent patterns in a dataset, subgroup discovery techniques are methods to identify the relations that characterise some given data subsets. The main goal of this Master Thesis is to develop subgroup discovery algorithms and to analyse available specific development environment for this purpose.

• Trab. Fin de Máster (Master Thesis)
  Titulo (Title): "Visual Analytics Tools for the Surveillance of Medical Actions".
  Director (Advisor): Jose M. Juarez and Manuel Campos
  Asignado (Student): no.
  Itinerario (Master): Inteligencia Artificial y Sistemas Biomédicos.
  No. Alumnos (No. Students): 1.
  Requisitos (Requisites):
  Resumen (Summary): Visual analytics combines visualization and data analysis to process complex and large number of data to support decision makers. The objective of this Master Thesis is to: (1) analyse variety of tools and programming libraries to develop Visual Analytics; (2) the study of some specific medical problems in pharmacovigilance; (3) apply Visual Analytics methods to solve one of the problems analysed; (4) evaluation of the solution implemented.

• Trab. Fin de Máster (Master Thesis)
  Titulo (Title): "Clinical Decision Support for Infection Alert".
  Director (Advisor): Jose M. Juarez and Manuel Campos
  Asignado (Student): YES.
  Itinerario (Master): Inteligencia Artificial y Sistemas Biomédicos.
  No. Alumnos (No. Students): 1.
  Requisitos (Requisites):
  Resumen (Summary): The goal of this Master Thesis is the implementation and evaluation of an alert system based on rule-based reasoning to identify infection problems of a medical dataset. The knowledge base will be acquired from clinical documents and the expert knowledge (Intensive Care Unit doctors). The CDSS will be developed in Java using JBoss Drolls technology. The CDSS will be evaluated using a medical database from an ICU department.

• Trab. Fin de Máster (Master Thesis)
  Titulo (Title): "Management of Massive Knowledge Bases".
  Director (Advisor): Jose M. Juarez and Manuel Campos
  Asignado (Student): no.
  Itinerario (Master): Inteligencia Artificial y Sistemas Biomédicos.
  No. Alumnos (No. Students): 1.
  Requisitos (Requisites):
  Resumen (Summary): Medical expert systems often require complex and large knowledge bases. However, knowledge engineers must establish measurements to ensure the quality, correctness and consistency of the knowledge base. The goal of this project is to develop a tool to maintain the knowledge base of a clinical alert system in the form of rules. In particular, the tool must manage: alert filtering, heuristic consistency, redundancy, etc.

• Trab. Fin de Máster (Master Thesis)
  Titulo (Title): "Metaheurísticas basadas en el Forrajeo de Bacterias".
  Director (Advisor): Fernando Jiménez Barrionuevo, Gracia Sánchez Carpena
  Asignado (Student): no.
  Itinerario (Master): Inteligencia Artificial y Sistemas Biomédicos.
  No. Alumnos (No. Students): 1.
  Requisitos (Requisites):
  Resumen (Summary): Un algoritmo de optimización basado en el forrajeo de bacterias (Bacterial Foraging Optimization Algorithm, BFOA) está inspirado en un grupo de bacterias que funcionan en base a la búsqueda de alimentos, tales como la E.coli y el M.xanthus. Específicamente, el BFOA está inspirado en la quimiotaxis o atracción a un factor químico de la bacteria la cual percibe gradientes en su entorno (tales como nutrientes) y se mueve hacia señales específicas o se aleja de ellas. El Trabajo Fin de Máster consiste en la implementación en java de un BFOA, la integración en una plataforma de optimización bio-inspirada ya desarrollada, la comparación con otras metaheurísticas sobre un conjunto de problemas test usados en la literatura, y el análisis, discusión y publicación de resultados.

• Trab. Fin de Máster (Master Thesis)
  Titulo (Title): "XXX".
  Director (Advisor): xxx
  Asignado (Student): no.
  Itinerario (Master): Inteligencia Artificial y Sistemas Biomédicos.
  No. Alumnos (No. Students): 1.
  Requisitos (Requisites):
  Resumen (Summary): xxxx