AutMedAI, a new machine learning (ML) model, enhances early detection of Autism Spectrum Disorder (ASD) with minimal medical and background data. The recent breakthrough promises to enhance early ...

By creating a machine-learning model that analyzes common early-life factors—such as age at first smile or language milestones—they hoped to facilitate earlier identification of autism risk ...

Autism spectrum disorder (ASD) is a group of developmental disorder that has variant types and wide range of symptoms. ASD affected individuals face challenges in speech, interaction, verbal and ...

Summary: A new machine learning model, AutMedAI, can predict autism in children under two with nearly 80% accuracy, offering a promising tool for early detection and intervention. The model analyzes ...

Autism Detection using Machine Learning. This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adults. Given some attributes of a person, the model can ...

Machine Learning Prediction of Autism Spectrum Disorder From a Minimal Set of Medical and Background Information. JAMA Network Open , 2024; 7 (8): e2429229 DOI: 10.1001/jamanetworkopen.2024.29229 ...

Early diagnosis of Autism Spectrum Disorder (ASD) is crucial for best outcomes to interventions. In this paper, we present a machine learning (ML) approach to ASD diagnosis based on identifying ...