Human Learning Disability Detection Using Machine Learning Approach
Learning disabilities, or learning disorders, are an umbrella term for a wide variety of learning problems. A learning disability is not a problem with intelligence or motivation. Kids with learning disabilities aren’t lazy or dumb. The main aim of this paper is to design a tool based on machine learning techniques for accurate prediction of learning disability in individual’s and to effectively measure the percentage of learning disability present in the child, according to the knowledge obtained from the clinical information. Learning disability is a classification including several disorders in which a child has difficulty learning in a typical manner, usually caused by an unknown factor or factors. The unknown factor is the disorder that affects the brain's ability to receive and process information. This disorder can make it problematic for a child to learn as quickly or in the same way as some child who isn't affected by a learning disability. So this work we can going to predict the LD by using machine learning approach with KNN to predict it accurately.