| Yazarlar (3) |
Doç. Dr. Kemal AKYOL
Kastamonu Üniversitesi, Türkiye |
Yasemin Gültepe
Kastamonu Üniversitesi, Türkiye |
|
Abdulkadir Karacı
Kastamonu Üniversitesi, Türkiye |
| Özet |
| Autistic Spectrum Disorder is a mental disorder which impedes the acquisition of linguistic, communication, cognitive, and social skills and abilities. It occurs within the first three years of children and shows different symptoms. times for diagnosis of the disease are lengthy and hence the procedures are not effective. In this study, the importance of attributes are investigated and the predictive models are constructed for the detection of this disorder in children. The dataset consists of 292 instances and each instance includes 21 attributes. But, the pre-processed dataset consists of 247 instances. Experimental results clearly show that the result attribute is rather important. In addition, relation, country_of_residence, age and ethnicity attributes, and Question 4 and 10 are found also important. The performances of the predictive models are evaluated within the frame of accuracy and sensitivity performance metrics. |
| Anahtar Kelimeler |
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum |
| Bildiri Dili | İngilizce |
| Kongre Adı | INTERNATIONAL CONGRESS ON ENGINEERING AND LIFE SCIENCE - 2018 |
| Kongre Tarihi | 26-04-2018 / 29-04-2018 |
| Basıldığı Ülke | Türkiye |
| Basıldığı Şehir | Kastamonu |
