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Autistic Spectrum Disorder Screening: Prediction with Machine Learning Models

Deepika Purushothama, DK. Likhith Kumar, D. Pooja, HR. Thanuja, Dr. S. Kumaraswamy


Research in autism spectrum disorders, it is still not used to the "big data" is on the same scale as in other fields. However, the advances in basic and inexpensive data collection and analysis of data is quick to make this a reality. Currently, autistic spectrum disorders is gaining its encouragement faster than ever before. The identification of autism is, the symptoms, by means of screening, it is very expensive and time-consuming. The aim of this work is to establish an effective predictive model, based on the ML method for the prediction of the wounds of people of all ages.

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