Training a machine learning classifier to identify adhd based on real-world clinical data from medical records

HIGHLIGHTS

• who: Pavol Mikolas from the DepartmentCarus University have published the research work: Training a machine learning classifier to identify ADHD based on real-world clinical data from medical records, in the Journal: Scientific Reports Scientific Reports of 20/07/2022
• what: To try and optimize the algorithm's performance, the authors aimed to eliminate irrelevant features in a data-driven way. The study suggests that ADHD can be identified using data from clinical records even in a mixed, help-seeking population of children and adolescents.
• how: To account for age and gender differences . . .
  

   

  

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