Data-Driven Decision Support for Autism Diagnosis using Machine Learning

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationMEDES '21
Subtitle of host publicationProceedings of the 13th International Conference on Management of Digital EcoSystems
PublisherAssociation for Computing Machinery (ACM)
Pages30-34
Number of pages5
ISBN (Print)9781450383141
DOIs
Publication statusPublished - 1 Nov 2021
Event13th International Conference on Management of Digital EcoSystems - Virtual, Online, Tunisia
Duration: 1 Nov 20213 Nov 2021
Conference number: 13
https://medes.sigappfr.org/21/

Conference

Conference13th International Conference on Management of Digital EcoSystems
Abbreviated titleMEDES 2021
CountryTunisia
CityVirtual, Online
Period1/11/213/11/21
Internet address

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