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This project implements a complete machine learning pipeline to predict the likelihood of Autism Spectrum Disorder (ASD) using screening and demographic data. The focus is on exploratory data analysis ...
Machine Learning model for predicting autism spectrum disorder (ASD) using decision trees. Designed with simplicity, the model efficiently determines whether an individual may have ASD based on input ...
Researchers used 3D transport-based morphometry to visualize brain changes linked to 16p11.2 CNV, achieving high prediction accuracy and advancing autism precision medicine.
Translational Psychiatry - Use of machine learning to shorten observation-based screening and diagnosis of autism Skip to main content Thank you for visiting nature.com.