Newly Proposed Technique for Autism Spectrum Disorder based Machine Learning

The rapid growth in the number of autism disorder among toddlers needs for development easily implemented and effective screening methods. In this current era, causes Autism Spectrum Disorder (ASD) do not know yet, however, diagnosis detection ASD is based on behaviours symptoms. This paper aims to improve disease prediction accuracy by using Logistic Regression model Machine Learning, through collected health care dataset an algorithm classification check whether children are having diseases or according information dataset. Therefore, Learning decreasing time needed detect disorder, then providing necessary services early infected enhance their lifestyle. healthcare, most machine learning applications research stage, take advantage emerging software tools that incorporate artificial intelligence, healthcare organizations first need overcome a variety challenges.