Predictive analytics classify self-care problems in children with disability using ICF-CY.
problem Complex classification of functioning and disability in children with ICF-CY.
method Implemented Random Forest, SVM, Naive Bayes, Hoeffding tree, and Lazy locally weighted learning; used Boruta for dimensionality reduction.
result Random Forest achieved 84.75% classification accuracy.