Abstract
In this paper, we investigate the problem of manual behavioral disorder assessments completion for the purposes of determining the early warning signs for patients with behavioral disorder symptoms. This study resides in the application domain of Autism Spectrum Disorder (ASD) as a motivating example. With the automation of behavioral disorder assessment, we seek to decrease the amount of time required for each diagnostic test and therefore increase the efficiency of diagnostic and number of diagnosed patient. We have evaluated our system with sufficient number of diagnostic tests and found that our system can perform almost quick and accurate Autism Spectrum Disorder diagnostic. In this work, we present the proposed framework and take advantages of the automation of the proposed solution in order to facilitate diagnostics.
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Bouaziz, R., AL-Ahmadi, G., AL-Lehebi, A., AL-Sehil, W., AL-Jumadii, S. (2020). ABDA: An Automated Behavioral Disorder Assessment Framework. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12254. Springer, Cham. https://doi.org/10.1007/978-3-030-58817-5_71
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DOI: https://doi.org/10.1007/978-3-030-58817-5_71
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