Network phenotypes and their clinical significance in temporal lobe epilepsy using machine learning applications to morphological and functional graph theory metrics

HIGHLIGHTS

• who: Camille Garcia-Ramos from the DepartmentUniversity of have published the research: Network phenotypes and their clinical significance in temporal lobe epilepsy using machine learning applications to morphological and functional graph theory metrics, in the Journal: Scientific Reports Scientific Reports of 23/Dec/2021
• what: Given that the cognitive tests in this study were adjusted for age, no additional age-related adjustments for cognitive analyses were made. The authors were able to demonstrate separate latent groups within each analysis.
• how: In this investigation machine_learning (K-means clustering) was employed on two distinct sets . . .
  

   

  

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