Stable Sparse Classifiers predict cognitive impairment from gait patterns.

Aznielle-Rodríguez, Tania; Ontivero-Ortega, Marlis; Galán-García, Lídice; Sahli, Hichem; Valdés-Sosa, Mitchell

Aznielle-Rodríguez, Tania; Ontivero-Ortega, Marlis; Galán-García, Lídice; Sahli, Hichem; Valdés-Sosa, Mitchell.

Afiliação

Aznielle-Rodríguez T; Department of Electronics, Cuban Center for Neuroscience, Havana, Cuba.
Ontivero-Ortega M; Electronics and Informatics Department, Vrije Universiteit Brussels, Brussels, Belgium.
Galán-García L; Department of Neuroinformatics, Cuban Center for Neuroscience, Havana, Cuba.
Sahli H; Department of Data Analysis, Faculty of Psychological and Educational Sciences, Ghent University, Ghent, Belgium.
Valdés-Sosa M; Department of Neuroinformatics, Cuban Center for Neuroscience, Havana, Cuba.

Front Psychol ; 13: 894576, 2022.

Article em En | MEDLINE | ID: mdl-36051195

Palavras-chave

biomarkers; classification; cognitive impairment; gait analysis; glmnet; stability ROC

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Psychol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Cuba País de publicação: Suíça

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