Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi‐instrument fusion
Journal of Child Psychology and Psychiatry2016Vol. 57(8), pp. 927–937
Citations Over TimeTop 10% of 2016 papers
Abstract
ML is useful for creating robust, customizable instrument algorithms. In a unique dataset comprised of controls with other difficulties, our findings highlight the limitations of current caregiver-report instruments and indicate possible avenues for improving ASD screening and diagnostic tools.
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