Received: NovemAccepted: OctoPublished: December 10, 2020Ĭopyright: © 2020 Khozaei et al. PLoS ONE 15(12):Įditor: Zhishun Wang, Columbia University, UNITED STATES These 57 participants consisted of 28 boys and 29 girls and the results were very encouraging for the use of the approach in early ASD screening.Ĭitation: Khozaei A, Moradi H, Hosseini R, Pouretemad H, Eskandari B (2020) Early screening of autism spectrum disorder using cry features. To pilot the practicality of the proposed approach for early autism screening, the trained classifier was tested on 57 participants between 10 to 18 months. Furthermore, it demonstrated better results than the studies which used voice features for screening ASD. It was shown that the proposed approach outperforms the common classification methods. These measures were 71.42%, 100%, and 85.71% for girls, respectively. The sensitivity, specificity, and precision of the proposed approach for boys were 85.71%, 100%, and 92.85%, respectively. The trained classifier was tested on the data of 14 boys and 7 girls with ASD and 14 TD boys and 7 TD girls. Then, after preprocessing, the approach was used to train a classifier, using data for 10 boys with ASD and 10 Typically Developed (TD) boys. To test the proposed approach a set of data relating to children between 18 to 53 months which had been recorded using high-quality voice recording devices and typical smartphones at various locations such as homes and daycares was studied. Therefore, we proposed a new classification approach to be able to determine such features and their corresponding instances. During the study, we realized that ASD specific features are not necessarily observable in all children with ASD and in all instances collected from each child. Consequently, in the present paper, a cry-based screening approach for children with Autism Spectrum Disorder (ASD) is introduced which would provide both early and automatic screening. The increase in the number of children with autism and the importance of early autism intervention has prompted researchers to perform automatic and early autism screening.
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