Blood glucose prediction using multi-objective grammatical evolution: analysis of the ``agnostic'' and ``what-if'' scenarios
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{Contador:2022:GPEM,
-
author = "Sergio Contador and J. Manuel Colmenar and
Oscar Garnica and J. Manuel Velasco and J. Ignacio Hidalgo",
-
title = "Blood glucose prediction using multi-objective
grammatical evolution: analysis of the ``agnostic'' and
``what-if'' scenarios",
-
journal = "Genetic Programming and Evolvable Machines",
-
year = "2022",
-
volume = "23",
-
number = "2",
-
pages = "161--192",
-
month = jun,
-
keywords = "genetic algorithms, genetic programming, Grammatical
evolution, Multi-objective optimization, MOGA, Glucose
prediction, Diabetes",
-
ISSN = "1389-2576",
-
URL = "https://rdcu.be/cBKAs",
-
DOI = "doi:10.1007/s10710-021-09424-6",
-
size = "32 pages",
-
abstract = "we investigate the benefits 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 fitness 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. we use
two datasets to analyse two different 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.",
-
notes = "Universidad Rey Juan Carlos, Mostoles, Spain",
- }
Genetic Programming entries for
Sergio Contador
J Manuel Colmenar
Oscar Garnica
Jose Manuel Velasco Cabo
Jose Ignacio Hidalgo Perez
Citations