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 demystified. In ALS, the biomedical...

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Bibliographic Details
Main Author: Fernandes, Filipe (author)
Other Authors: Barbalho, Ingridy (author), Barros, Daniele (author), Valentim, Ricardo (author), Teixeira, César (author), Henriques, Jorge (author), Gil, Paulo (author), Dourado Júnior, Mário (author)
Format: article
Language:eng
Published: 2021
Subjects:
Amyotrophic lateral sclerosis (ALS)
Artificial intelligence
Biomedical signals
Chronic neurological conditions
Machine learning
Motor neuron disease
Signal processing
Online Access:http://hdl.handle.net/10316/95118
Country:Portugal
Oai:oai:estudogeral.sib.uc.pt:10316/95118

Internet

http://hdl.handle.net/10316/95118

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