“…Recent work has explored the potential of machine learning (ML) methods to support diagnostic procedures (see Hyde et al, 2019 for a review). Most of these studies aimed at streamlining the diagnostic procedures for ASD by identifying a reduced set of most discriminative items from clinician-coded examinations such as ADOS-2 and ADI-R (Bone et al, 2015(Bone et al, , 2016Duda et al, 2014;Duda, Daniels, et al, 2016;Kamp-Becker, n.d.;Kosmicki et al, 2015;Küpper et al, 2020;Levy et al, 2017;Stroth, n.d.;Wall, Dally, et al, 2012;Wall, Kosmicki, et al, 2012;Wittkopf et al, 2021, see Bone et al, 2015 for a critical review). ML models built upon such selected items often retain or even exceed the diagnostic accuracy of the original ADOS-2 algorithm.…”