Person:
Hidalgo Pérez, José Ignacio

Profile Picture
First Name
José Ignacio
Last Name
Hidalgo Pérez
URI
https://hdl.handle.net/20.500.14352/78685
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Informática
Department
Arquitectura de Computadores y Automática
Area
Arquitectura y Tecnología de Computadores
Identifiers
UCM identifierORCIDScopus Author IDDialnet IDGoogle Scholar ID

Filters

20211
Reset filters

Settings

Author: Colmenar, J. Manuel ×

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios
    (Genetic Programming and Evolvable Machines, 2021) Contador, Sergio; Colmenar, J. Manuel; Garnica Alcázar, Oscar; Velasco Cabo, José Manuel; Hidalgo Pérez, José Ignacio
    In this paper we investigate the benefts of applying a multi-objective approach for solving a symbolic regression problem by means of Grammatical Evolution. In particular, we extend previous work, obtaining mathematical expressions to model glucose levels in the blood of diabetic patients. Here we use a multi-objective Grammatical Evolution approach based on the NSGA-II algorithm, considering the root-mean-square error and an ad-hoc ftness function as objectives. This ad-hoc function is based on the Clarke Error Grid analysis, which is useful for showing the potential danger of mispredictions in diabetic patients. In this work, we use two datasets to analyse two diferent scenarios: What-if and Agnostic, the most common in daily clinical practice. In the What-if scenario, where future events are evaluated, results show that the multi-objective approach improves previous results in terms of Clarke Error Grid analysis by reducing the number of dangerous mispredictions. In the Agnostic situation, with no available information about future events, results suggest that we can obtain good predictions with only information from the previous hour for both Grammatical Evolution and Multi-Objective Grammatical Evolution.