Predicting Language Difficulties in Middle Childhood From Early Developmental Milestones: A Comparison of Traditional Regression and Machine Learning Techniques.

Purpose: The current study aimed to compare traditional logistic regression models with machine learning algorithms to investigate the predictive ability of (a) communication performance at 3 years old on language outcomes at 10 years old and (b) broader developmental skills (motor, social, and adap...

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Publicado en:	Journal of Speech, Language & Hearing Research Vol. 61; no. 8; pp. 1926 - 1945
Autores principales:	Armstrong, Rebecca, Symons, Martyn, Scott, James G., Arnott, Wendy L., Copland, David A., McMahon, Katie L., Whitehouse, Andrew J. O.
Formato:	Artículo
Publicado:	American Speech-Language-Hearing Association Aug2018
Materias:	Algorithms Chi-squared test Child development deviations Computer software Confidence intervals Decision trees Language disorders in children Longitudinal method Multivariate analysis Questionnaires Logistic regression analysis Predictive validity Odds ratio
Acceso en línea:	Ver este registro en EBSCOhost