What is it about?
Our study aimed to implement an artificial neural network with the Levenberg- Marquardt algorithm to detect ASD and examine its predictive accuracy. Consecutively, develop a clinical decision support system for early ASD identification.
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Why is it important?
Autism spectrum condition (ASC) or autism spectrum disorder (ASD) is primarily identified with the help of behavioral indications encompassing social, sensory and motor characteristics. Although categorized, recurring motor actions are measured during diagnosis, quantifiable measures that ascertain kinematic physiognomies in the movement configurations of autistic persons are not adequately studied, hindering the advances in understanding the etiology of motor mutilation. Subject aspects such as behavioral characters that influences ASD need further exploration. Presently, limited autism datasets concomitant with screening ASD are available, and a majority of them are genetic. Hence, in this study, we used a dataset related to autism screening enveloping ten behavioral and ten personal attributes that have been effective in diagnosing ASD cases from controls in behavior science. ASD diagnosis is time exhaustive and uneconomical. The burgeoning ASD cases worldwide mandate a need for the fast and economical screening tool.
Perspectives
To our knowledge, this is the first attempt to examine of autism using the Levenberg-Marquardt algorithm and incremental order selection in the field of artificial neural networks. Moreover, our model produced the highest classification accuracy of 98.38%. Through this study, we highlighted the importance of the training algorithm, order selection algorithm and selecting the required loss index to deal with unbalanced data. Based on the observations and evaluation of the proposed model, it can be inferred that Neural network with the Levenberg- Marquardt algorithm and incremental order selection is an appropriate tool for diagnosing ASD and can be deployed as a clinical decision support system.
Avishek Choudhury
West Virginia University
Read the Original
This page is a summary of: Prognosticating Autism Spectrum Disorder Using Artificial Neural Network: Levenb erg-Marquardt Algorithm, Archives of Clinical and Biomedical Research, January 2018, Fortune Journals,
DOI: 10.26502/acbr.50170058.
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