Data-driven decision support for autism diagnosis using machine learningData-driven decision support for autism diagnosis using machine learning Δημοσίευση σε Συνέδριο Conference Publication 2023-06-022021enThis paper describes work in progress about using AI technologies to support diagnostic decision making. In particular, we analyse clinical data of past cases to develop a data-driven prediction model for future cases. To do so, we use a versatile AutoML platform that applies a multitude of machine learning algorithms and their configurations. Our results show initial promise, but also point to limitations of currently available data, opening up avenues for further research.http://creativecommons.org/licenses/by/4.0/30–3413th International Conference on Management of Digital EcoSystemsProceedings of the 13th International Conference on Management of Digital EcoSystemsBatsakis_et_al_MEDES_2021.pdfChania [Greece]Library of TUC2023-06-02application/pdf540.9 kBfree Batsakis Sotirios Μπατσακης Σωτηριος Adamou Marios Tachmazidis Ilias Antoniou, Grigoris Kehagias Thanasis Association for Computing Machinery (ACM) Autism Clinical decision support