Current Proceedings on Technology

Yazarlar: Won-Seok Kang, Sanghun Yun, Hyung-Oh Kwon, Moon Jong Choi, Jung-Bae Kang

Konular:-

Anahtar Kelimeler:ADHD,Autism,Clustering,Disorder,Monitored adhd/autism behaviors data.

Özet: In this paper, we propose a method to cluster Attention Deficit/Hyperactivity Disorder (ADHD) and autism disorder using observed behaviors data. We utilized a Korean morphology analyzer to analysis features of the observed behaviors data which was recorded by text type. The proposed method aims to support an assistance tool to a special education and rehabilitation teachers to reduce the educating efforts. To show the efficiency of the proposed method, we used the historical text-typed records accumulated in the Research Institute of Special Education and Rehabilitation Science (RISPERS), Daegu University. The data had been recorded for 5 years. As a result of simulation, we confirmed that the proposed method achieved the clustering accuracy of 60% by choosing and evaluating the random result sample of 200 children of disorders.

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