Abstract
Data Science with analytics and machine learning in the field of health care are the most prominent and emerging fields in today’s scenario. Our research paper aims to the healthcare solution toward autism in infants. Autism is the neurodevelopment disorder categorized by diminished societal interaction, lingual and non-lingual communication, repetitive and antagonistic behavior. Autism neurodevelopment figures out in the infants nearly about one year of age. The overall process of autism detection is a very long and cost-oriented process that takes 6 months to 10 months in total. We are concentrating on two data set and developed a framework for early detection of autism in infants. Form the same above, we use the concept of data analytics with training of data model and inclusion of SVM classification. We have tested our model and novel algorithm “DataAutism” over large data set and figure out high precision, recall with accuracy approx. 89%.
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Acknowledgements
It is my privilege to express my sincere gratitude to National Institute of Technology, Raipur and Manipal University Jaipur for providing research platform and support to carry out research. We are thankful to National Institute of Mental Health and University of California, Irvine for making data available.
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Shankar, V.G., Sisodia, D.S., Chandrakar, P. (2020). DataAutism: An Early Detection Framework of Autism in Infants using Data Science. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-13-9364-8_13
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DOI: https://doi.org/10.1007/978-981-13-9364-8_13
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