Response frequencies in the conjoint recognition memory task as predictors of developmental dyslexia diagnosis: A decision‐trees approach

• Published in: Dyslexia (Chichester, England) Vol. 27; no. 1; pp. 50 - 61
• Main Author: Obidziński, Michał
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01.02.2021
• Subjects: Adolescent; Algorithms; Classification; Data mining; Decision analysis; Decision Support Techniques; Decision theory; Decision trees; developmental dyslexia; Dyslexia; Dyslexia - diagnosis; Female; High School Students; Humans; Information retrieval; Male; Mathematics; Memory; Memory and Learning Tests; Memory tasks; Mental task performance; Neurodevelopmental disorders; Prediction models; Predictive Value of Tests; Reading disabilities; Recognition; Secondary school students; specific learning disorders; Trace theory; Young Adult; developmental dyslexia; specific learning disorders; memory; data mining; decision trees

The presented study applies the methods of data mining and prediction models to the subject of memory functioning in developmental dyslexia. This article sets forth the results of an analysis of the decision tree algorithm for the classification of dyslexia/non‐dyslexia, based on frequency data from...