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A Machine-Based Prediction Model of ADHD Using CPT Data
2020
Frontiers in Human Neuroscience
Despite the popularity of the continuous performance test (CPT) in the diagnosis of attention-deficit/hyperactivity disorder (ADHD), its specificity, sensitivity, and ecological validity are still debated. To address some of the known shortcomings of traditional analysis and interpretation of CPT data, the present study applied a machine learning-based model (ML) using CPT indices for the Prediction of ADHD.Using a retrospective factorial fitting, followed by a bootstrap technique, we trained,
doi:10.3389/fnhum.2020.560021
pmid:33093829
pmcid:PMC7528635
fatcat:fjd3ygdi25gwjkzx3i7k2mcl2y