Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review

Introduction: The use of machine learning (ML) techniques in healthcare encompasses an emerging concept that envisages vast contributions to the tackling of rare diseases. In this scenario, amyotrophic lateral sclerosis (ALS) involves complexities that are yet not demystifed. In ALS, the biomedical...

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Detalhes bibliográficos
Principais autores: Dourado Junior, Mário Emílio Teixeira, Fernandes, Felipe, Barbalho, Ingridy, Barros, Daniele, Valentim, Ricardo, Teixeira, César, Henriques, Jorge, Gil, Paulo
Outros Autores: https://orcid.org/0000-0002-9462-2294
Formato: article
Idioma:English
Publicado em: Biomedical Engineering Online
Assuntos:
amyotrophic lateral sclerosis—als
artifcial intelligence
biomedical signals
chronic neurological conditions
machine learning
motor neuron disease
signal processing
Endereço do item:https://repositorio.ufrn.br/handle/123456789/54210
http://dx.doi.org/10.1186/s12938-021-00896-2
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https://repositorio.ufrn.br/handle/123456789/54210
http://dx.doi.org/10.1186/s12938-021-00896-2

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