Testing the applicability and performance of auto ml for potential applications in diagnostic neuroradiology

HIGHLIGHTS

  • who: Manfred Musigmann from the University Clinic have published the research: Testing the applicability and performance of Auto ML for potential applications in diagnostic neuroradiology, in the Journal: Scientific Reports Scientific Reports
  • what: The approach described here was performed independently for AutoML, the neural_network and each of the conventional machine_learning algorithms listed above. The aim of this approach with an increasing number of features is to avoid both underfitting and overfitting. This model shows an extremely robust prediction quality. The authors compare the performance obtained with the best AutoML model with the results obtained with . . .

     

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