Machine Learning in Amyotrophic Lateral Sclerosis: Achievements, Pitfalls, and Future Directions

Machine Learning in Amyotrophic Lateral Sclerosis: Achievements, Pitfalls, and Future Directions

Background: Amyotrophic Lateral Sclerosis (ALS) is a relentlessly progressive neurodegenerative condition with limited therapeutic options at present. Survival from symptom onset ranges from 3 to 5 years depending on genetic, demographic, and phenotypic factors. Despite tireless research efforts, th...

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Bibliographic Details
Main Authors: Vincent Grollemund, Pierre-François Pradat, Giorgia Querin, François Delbot, Gaétan Le Chat, Jean-François Pradat-Peyre, Peter Bede
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Neuroscience
Subjects:
amyotrophic lateral sclerosis
machine learning
diagnosis
prognosis
risk stratification
clustering
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00135/full

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