Cargando…

Using Decision Trees to Support Classifiers’ Decision-Making about Activity Limitation of Cerebral Palsy Footballers

This study aimed (1) to determine the appropriateness of using decision trees as a classification tool for determining the allocation of sport classes of para-footballers with “moderate vs. mild” cerebral palsy (CP) profiles of spastic diplegia/hemiplegia and ataxia/athetosis based on observational...

Descripción completa

Detalles Bibliográficos
Autores principales: Sarabia, José M., Roldan, Alba, Henríquez, Matías, Reina, Raul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074122/
https://www.ncbi.nlm.nih.gov/pubmed/33921841
http://dx.doi.org/10.3390/ijerph18084320
_version_ 1783684283688288256
author Sarabia, José M.
Roldan, Alba
Henríquez, Matías
Reina, Raul
author_facet Sarabia, José M.
Roldan, Alba
Henríquez, Matías
Reina, Raul
author_sort Sarabia, José M.
collection PubMed
description This study aimed (1) to determine the appropriateness of using decision trees as a classification tool for determining the allocation of sport classes of para-footballers with “moderate vs. mild” cerebral palsy (CP) profiles of spastic diplegia/hemiplegia and ataxia/athetosis based on observational outcomes by international classifiers, and (2) to identify what key observational features were relevant to discriminating among different impairment levels. A sample of 16 experienced international classifiers from five world regions participated in this study, observing activity limitation of a final sample of 21 international CP footballers when performing 16 gross-motor and sports-specific tests for balance (n = 3), coordination (n = 5), running, accelerations and decelerations (n = 3), jumping (n = 4), and change of direction ability (n = 1). For the overall sample (336 observations), the model included eight decision nodes and 24 branches with 17 leaves, including side-step, side-stepping, and triple hop as the tests with the best sensitivity (precision = 67.0%). For those with spastic diplegia (64 observations: Two nodes, six branches with five leaves), the range of motion in the side-step test and the balance in the tandem walk tests correctly classified 89.1% of the observations. In those with athetosis and ataxia (96 observations), the model included five nodes, 15 branches, and 11 leaves (176 observations, precision = 86.5%). For those with spastic hemiplegia, a model containing two nodes, six branches, and five leaves had 90.9% accuracy, including observational features of balance in the side-step test and symmetry in the side-stepping test. The observational tool used in this study, based on the impact of specific impairment measurements of hypertonia, athetosis, and ataxia, can be used to determine which assessments are more appropriate for discriminating between functional profiles in para-footballers with CP.
format Online
Article
Text
id pubmed-8074122
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-80741222021-04-27 Using Decision Trees to Support Classifiers’ Decision-Making about Activity Limitation of Cerebral Palsy Footballers Sarabia, José M. Roldan, Alba Henríquez, Matías Reina, Raul Int J Environ Res Public Health Article This study aimed (1) to determine the appropriateness of using decision trees as a classification tool for determining the allocation of sport classes of para-footballers with “moderate vs. mild” cerebral palsy (CP) profiles of spastic diplegia/hemiplegia and ataxia/athetosis based on observational outcomes by international classifiers, and (2) to identify what key observational features were relevant to discriminating among different impairment levels. A sample of 16 experienced international classifiers from five world regions participated in this study, observing activity limitation of a final sample of 21 international CP footballers when performing 16 gross-motor and sports-specific tests for balance (n = 3), coordination (n = 5), running, accelerations and decelerations (n = 3), jumping (n = 4), and change of direction ability (n = 1). For the overall sample (336 observations), the model included eight decision nodes and 24 branches with 17 leaves, including side-step, side-stepping, and triple hop as the tests with the best sensitivity (precision = 67.0%). For those with spastic diplegia (64 observations: Two nodes, six branches with five leaves), the range of motion in the side-step test and the balance in the tandem walk tests correctly classified 89.1% of the observations. In those with athetosis and ataxia (96 observations), the model included five nodes, 15 branches, and 11 leaves (176 observations, precision = 86.5%). For those with spastic hemiplegia, a model containing two nodes, six branches, and five leaves had 90.9% accuracy, including observational features of balance in the side-step test and symmetry in the side-stepping test. The observational tool used in this study, based on the impact of specific impairment measurements of hypertonia, athetosis, and ataxia, can be used to determine which assessments are more appropriate for discriminating between functional profiles in para-footballers with CP. MDPI 2021-04-19 /pmc/articles/PMC8074122/ /pubmed/33921841 http://dx.doi.org/10.3390/ijerph18084320 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sarabia, José M.
Roldan, Alba
Henríquez, Matías
Reina, Raul
Using Decision Trees to Support Classifiers’ Decision-Making about Activity Limitation of Cerebral Palsy Footballers
title Using Decision Trees to Support Classifiers’ Decision-Making about Activity Limitation of Cerebral Palsy Footballers
title_full Using Decision Trees to Support Classifiers’ Decision-Making about Activity Limitation of Cerebral Palsy Footballers
title_fullStr Using Decision Trees to Support Classifiers’ Decision-Making about Activity Limitation of Cerebral Palsy Footballers
title_full_unstemmed Using Decision Trees to Support Classifiers’ Decision-Making about Activity Limitation of Cerebral Palsy Footballers
title_short Using Decision Trees to Support Classifiers’ Decision-Making about Activity Limitation of Cerebral Palsy Footballers
title_sort using decision trees to support classifiers’ decision-making about activity limitation of cerebral palsy footballers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074122/
https://www.ncbi.nlm.nih.gov/pubmed/33921841
http://dx.doi.org/10.3390/ijerph18084320
work_keys_str_mv AT sarabiajosem usingdecisiontreestosupportclassifiersdecisionmakingaboutactivitylimitationofcerebralpalsyfootballers
AT roldanalba usingdecisiontreestosupportclassifiersdecisionmakingaboutactivitylimitationofcerebralpalsyfootballers
AT henriquezmatias usingdecisiontreestosupportclassifiersdecisionmakingaboutactivitylimitationofcerebralpalsyfootballers
AT reinaraul usingdecisiontreestosupportclassifiersdecisionmakingaboutactivitylimitationofcerebralpalsyfootballers