Sumi Simon, Chandra J and Saravanan N
Autism is a mental neural development disorder that is present from early childhood. Autism is characterized by difficulty in verbal and nonverbal communication, impaired social interaction and repetitive and restricted patterns of behavior. Parents notice these unusual behavior in the first two years for their toddler’s age.Autism is also known as autism spectrum disorder, the term is coined as spectrum due to its wide range of symptoms, levels of impairment or disability which vary from each toddler. Everyone with autism is unique. Autism can be classified as low, medium and high level of autism based on the scale used to detect autism. Surveys conducted by various child development organization across the world proves that boys are at a higher risk of autism than girls. The approximate ratio is four to five times higher in boys than in girls. The foremost and primary objective of the paper is to perform an empirical evaluation to compare the existing methods for data collection, preprocessing and classification methods for predicting autism.
Autism Spectrum Disorder (Asd), Data Mining, Preprocessing and Classification