Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes

HIGHLIGHTS

  • who: Leonie Lampe from the AICURA Medical GmbH, Berlin, Germany Clinic for Cognitive Neurology, University Clinic Leipzig, Leipzig have published the research work: Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes, in the Journal: (JOURNAL)
  • what: The authors show the accuracy, which allows a more humanly interpretable evaluation, but without considering the class imbalance. The authors compared several well-established machine_learning algorithms (i.e., DNN, GB, RF, and SVM) to predict the diagnosis out of numerous different neurodegenerative syndromes on the basis of prestructured, atlas-based volumetric brain MRI data . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?