Exploring the Machine Learning Paradigm in Determining Risk for Reading Disability.

Florina ErbeliKai HeConnor CheekMarianne Rice Xiaoning Qian

Published in: Scientific studies of reading : the official journal of the Society for the Scientific Study of Reading (2022)

Findings suggest that RF does not outperform LR in RD prediction accuracy in models with multiple linearly related predictors. Findings also highlight including reading fluency in early identification batteries for later RD determination.

Keyphrases

machine learning
working memory
multiple sclerosis
big data
solid phase extraction
molecularly imprinted
deep learning
solid state
drug induced
liquid chromatography