Children, Volume 11, Issue 4
2024 April - 124 articles
Cover Story: The objectives of this study were to analyse the functionality of using supervised and unsupervised machine learning techniques to analyse results related to the development of functional skills in patients at developmental ages of 0–6 years. We worked with a sample of 113 patients, of whom 49 were cared for in a specific centre for people with motor impairments (Group 1) and 64 were cared for in a specific early care programme for patients with different impairments (Group 2). The results indicated that in Group 1, chronological age predicted the development of functional skills at 85% and in Group 2 at 65%. The classification variable detected was functional development in the upper extremities. Two clusters were detected within each group that allowed us to determine the patterns of functional development in each patient with respect to functional skills. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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