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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Bibliographic Details
Main Author: Fernandes, Carlos (author)
Other Authors: Ferreira, Flora José Rocha (author), Gago, Miguel F. (author), Azevedo, Olga (author), Sousa, Nuno (author), Erlhagen, Wolfram (author), Bicho, Estela (author)
Format: conferencePaper
Language:eng
Published: 2019
Subjects:
Multiple regression models Fabry's disease
Machine learning
Walking
Fabry's disease
Multiple regression models
Science & Technology
Online Access:http://hdl.handle.net/1822/69774
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/69774

Internet

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

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