Machine Learning Prediction of Autism Spectrum Disorder From a Minimal Set of Medical and Background Information

Abstract

In this diagnostic study of ML prediction of ASD, robust model performance was observed to identify autistic individuals with more symptoms and lower cognitive levels. The robustness and ML model generalizability results are promising for further validation and use in clinical and population settings.