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Table 1 “Multiple Sclerosis” and specific machine learning algorithms returned 1, 052 studies from eight search resources

From: The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

Search terms

Search resource

Number of returned studies

“Multiple Sclerosis” AND (“Machine Learning” OR “Machine Intelligence”

  

OR “Deep Learning” OR “Decision Tree*” OR “Random Forest*”

PubMed

75

OR “Pattern Recognition” OR “Genetic Algorithm*” OR “Supervised Algorithm*”

  

OR “Decision Support System*” OR “Evolutionary Computation*”

Cochrane

25

OR “Neural Network*” OR “Support Vector Machine*” OR “Autoencoder*”

Google scholar

100 #

OR “Deep Belief Network*” OR “Adversarial Network*”

  

OR “Self Organizing Map*” OR “Self Organising Map*”)

  

“Multiple Sclerosis” AND (“machine learning” OR “machine intelligence”)

Science direct

340 #

Scopus

169

Web of Science

179 #

Lens

160

“Multiple sclerosis” AND “machine learning”

dblp

4 #

Total count (# Sort by relevance)

 

1052

  1. # Sort by relevance