Intelligent Frame Work to Predict Autism in Infants using Machine Learning
S.V. Evangelin Sonia1, R. Prasanth2, B. Mythreyi3, A. Harshavardhan4, A. Manoharan5
1S.V.Evangelin Sonia*, Assistant Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
2R.Prasanth, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
3B. Mythreyei, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
4A.Harshavardhan, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India .
5A.Manoharan, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 675-679 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1997059120/2020©BEIESP | DOI: 10.35940/ijrte.A1997.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Autistic Spectrum Disorder (ASD) is a behavioral impairment that interferes with the use of auditory, communicative, cognitive, abilities and social skills. ADS was introduce researched using advanced approaches based on machine learning to speed up the diagnostic period or increase the responsiveness, reliability or precision of the diagnosis process. Normal medical checkup data (training data) of the baby, test data is used to classify the child with autism. The assessment results showed that, for both types of datasets, the proposed prediction model produces better results in terms of precision, responsiveness, precision and false positive rate (FPR). In the modern day, Autism Spectrum Disorder (ASD) is gaining some momentum quicker than ever. Detecting signs of autism by screening tests is very costly and time consuming. Autism can be identified faster by combining artificial intelligence and Machine Learning (ML).
Keywords: Autistic Spectrum Disorder, Machine Learning, Classifiers, Predictions.
Scope of the Article: Machine Learning