Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/7E9617F7-A334-47FE-AD9B-819164C9894D | ||
| Year | 2021 | ||
| Type of Item | Conference Publication | ||
| License |
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| 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. https://doi.org/10.1145/3444757.3485101 | ||
| Appears in Collections |
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.
Copyright © DIAS 2013
