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2023 International Convention of Psychological Science · 2023

Predictive Classification of Attentional Profiles at Age 3-Years from Early Development Using a Machine Learning Approach

Brussels, Belgium · March 2023

poster · Neuroscience

  • Mariel Musso
    CONICET
  • Mariel Musso
    CONICET/ University of Granada
  • Alana Daly
    Mind, Brain and Behavior Research Center (CIMCYC)- University of Granada
  • Lina Combita
    Mind, Brain and Behavior Research Center (CIMCYC)- University of Granada
  • Sebastián Moyano
    Mind, Brain and Behavior Research Center (CIMCYC)- University of Granada
  • Josué Rico-Picó
    Mind, Brain and Behavior Research Center (CIMCYC)- University of Granada
  • Ángela Conejero
    Department of Developmental and Educational Psychology- University of Granada
  • M.a. Ballesteros-Duperon
    Mind, Brain and Behavior Research Center (CIMCYC)- University of Granada
  • Eduardo C. Cascallar
    KU Leuven
  • M. Rosario Rueda
    Mind, Brain and Behavior Research Center (CIMCYC)- University of Granada

Abstract

This study presents four attentional profiles in early development using a novel attention task. This study also aims to develop machine learning models to classify children into these profiles from a broad range of data acquired in infancy. A total of 76 toddlers participated as part of a longitudinal project.

Neuropsychology