Finding the forest in the trees: Using machine learning and online cognitive and perceptual measures to predict adult autism diagnosis

Traditional subjective measures are limited in the insight they provide into underlying behavioral differences associated with autism and, accordingly, their ability to predict diagnosis. Performance-based measures offer an attractive alternative, being designed to capture neuropsychological constructs more directly and objectively. However, due to the heterogeneity of autism, differences in any one specific neuropsychological domain are inconsistently detected. Meanwhile, protracted wait times…

via https://pubmed.ncbi.nlm.nih.gov/41714590/?utm_source=Other&utm_medium=rss&utm_campaign=None&utm_content=1HYeX0emtvYgH07Wkz0a8n9otrdMd-JIklc_uo0I5vh1u9WMEy&fc=None&ff=20260220010807&v=2.18.0.post22+67771e2


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