Can Machine Learning Be Used For The Detection Of Autism?

Autism spectrum disorder (ASD) is typically diagnosed in early childhood, but genetic detection of this brain disorder could mean more timely interventions that improve life for the patient and their carers. A new study suggests that machine learning algorithms might be used to analyze genetic data that points to an autism spectrum disorder diagnosis before symptoms become obvious. Fuad Alkoot of PAAET in Kuwait, and Abdullah Alqallaf of Kuwait University, Kuwait, explain that unlike other conditions, such as cancer, little heed has been taken to the possibility of early genetic detection of autism. This is despite the fact that an early diagnosis could be very useful to parents and carers. The team has now developed a four-stage computerized neural network system for testing simplified genetic data.