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

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

Abstract 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 bi...

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Bibliographic Details
Main Authors: Felipe Fernandes, Ingridy Barbalho, Daniele Barros, Ricardo Valentim, César Teixeira, Jorge Henriques, Paulo Gil, Mário Dourado Júnior
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BioMedical Engineering OnLine
Subjects:
Amyotrophic lateral sclerosis—ALS
Artificial intelligence
Biomedical signals
Chronic neurological conditions
Machine learning
Motor neuron disease
Online Access:https://doi.org/10.1186/s12938-021-00896-2

Internet

https://doi.org/10.1186/s12938-021-00896-2

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