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Data-driven decision support for autism diagnosis using machine learning

Batsakis Sotirios, Adamou Marios, Tachmazidis Ilias, Antoniou, Grigoris, Kehagias Thanasis

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Year 2021
Type of Item Conference Publication
Bibliographic Citation S. Batsakis, M. Adamou, I. Tachmazidis, G. Antoniou and T. Kehagias, “Data-driven decision support for autism diagnosis using machine learning,” in Proceedings of the 13th International Conference on Management of Digital EcoSystems (MEDES 2021), virtual event, 2021, pp. 30–34, doi: 10.1145/3444757.3485101.
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This 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.

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