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Learn about computerized cognitive rehabilitation for children through this conference talk that explores using Julia programming for analyzing and improving cognitive functions in young patients recovering from brain disabilities. Discover how Julia packages like DataFrames.jl, MLJ.jl, and PyPlot.jl are utilized to process and analyze various cognitive datasets including memory, attention span, language skills, IQ levels, and problem-solving abilities. Explore the importance of cognitive rehabilitation, understand key cognitive functions affecting children's performance in school environments, and examine approaches and models for rehabilitation. Follow along with a basic forecasting model demonstration and engage with comprehensive results showing how Julia programming can support cognitive recovery in children.
