Diagnostic Classification of ADHD Versus Control: Support Vector Machine Classification Using Brief Neuropsychological Assessment.

@article{Bledsoe2016DiagnosticCO,
  title={Diagnostic Classification of ADHD Versus Control: Support Vector Machine Classification Using Brief Neuropsychological Assessment.},
  author={Jesse Bledsoe and Danica Xiao and Art Chaovalitwongse and Sonya P Mehta and Thomas J. Grabowski and Margaret Semrud-Clikeman and Steven R. Pliszka and David Breiger},
  journal={Journal of attention disorders},
  year={2016}
}
OBJECTIVE Common methods for clinical diagnosis include clinical interview, behavioral questionnaires, and neuropsychological assessment. These methods rely on clinical interpretation and have variable reliability, sensitivity, and specificity. The goal of this study was to evaluate the utility of machine learning in the prediction and classification of children with ADHD-Combined presentation (ADHD-C) using brief neuropsychological measures (d2 Test of Attention, Children with ADHD-C and… CONTINUE READING

From This Paper

Topics from this paper.

Similar Papers

Loading similar papers…