Gait classification of patients with Fabry's disease based on normalized gait features obtained using multiple regression models

Diagnosis of Fabry disease (FD) remains a challenge mostly due to its rare occurrence and phenotipical variability, with considerable delay between onset and clinical diagnosis. It is then of extreme importance to explore biomarkers capable of assisting the earlier diagnosis of FD. There is growing...

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Detalhes bibliográficos
Autor principal: Fernandes, Carlos (author)
Outros Autores: Ferreira, Flora José Rocha (author), Gago, Miguel F. (author), Azevedo, Olga (author), Sousa, Nuno (author), Erlhagen, Wolfram (author), Bicho, Estela (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2019
Assuntos:
Multiple regression models Fabry's disease
Machine learning
Walking
Fabry's disease
Multiple regression models
Science & Technology
Texto completo:http://hdl.handle.net/1822/69774
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/69774

Texto Completo

http://hdl.handle.net/1822/69774

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