Using supervised machine learning on neuropsychological data to distinguish OCD patients with and without sensory phenomena from healthy controls
Stamatis C, Batistuzzo M, Tanamatis T, Miguel E, Hoexter M, Timpano K. Using supervised machine learning on neuropsychological data to distinguish OCD patients with and without sensory phenomena from healthy controls. British Journal Of Clinical Psychology 2020, 60: 77-98. PMID: 33300635, DOI: 10.1111/bjc.12272.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderNeuropsychological literatureNeuropsychological processesSensory phenomenaOCD patientsDistinct cognitive processesDifferent cognitive profilesExecutive function deficitsDistinct neuropsychological featuresCognitive processesNeuropsychological paradigmsCognitive profileNeuropsychological dataFunction deficitsNeuropsychological featuresHealthy controlsMultiple analytic approachesPatient subsampleSymptom presentationCommon experienceSymptom-based approachEmpirical findingsDistinct drivesRisk sensitivityMotivation